naive-apl

Naive Bayesian Classifier implementation in APL. [Deprecated]

Darknet

Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.

Recommender

A C library for product recommendations/suggestions using collaborative filtering (CF).

Hybrid Recommender System

A hybrid recommender system based upon scikit-learn algorithms. [Deprecated]

neonrvm

neonrvm is an open source machine learning library based on RVM technique. It's written in C programming language and comes with Python programming language bindings.

cONNXr

An ONNX runtime written in pure C (99) with zero dependencies focused on small embedded devices. Run inference on your machine learning models no matter which framework you train it with. Easy to install and compiles everywhere, even in very old devices.

libonnx

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

onnx-c

A lightweight C library for ONNX model inference, optimized for performance and portability across platforms.

notorch

Neural networks framework in pure C: training and inference, no dependencies.

qsmm

A C library implementing the rudiments of a toolchain for working with adaptive probabilistic assembler programs.

qwen3.8-27b-in-c

A native C inference engine for running Qwen3.8-27B locally on a single laptop CPU, with direct GGUF loading and a tested 8 GB memory path.

deepseek-v4-flash-0731-in-c

A native C CPU inference engine for running the 284B-A13B DeepSeek-V4-Flash-0731 on one laptop, reaching up to 1.12 token/s on tested hardware while streaming the 167 GB checkpoint from disk with a tested 8 GB memory path and no GPU or Python.

CCV

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.

VLFeat

VLFeat is an open and portable library of computer vision algorithms, which has a Matlab toolbox.

YOLOv8

Ultralytics' YOLOv8 implementation with C++ support for real-time object detection and tracking, optimized for edge devices.

SpecX

Specialized AI vision for extracting engineering specs from PDF/JPG to Excel.

VoxRT

On-device streaming speech recognition runtime with C API for Linux (aarch64/x86_64). Based on NVIDIA NeMo FastConformer (80 ms cache-aware lookahead). Companion Silero VAD, wake-word, and 14-command KWS via same runtime.

CosmoEdge

A C++ edge video AI engine for RTSP ingestion, CV/VLM inference, visual pipeline orchestration, alarms, and event delivery on Sophon and Rockchip NPUs.

DLib

DLib has C++ and Python interfaces for face detection and training general object detectors.

EBLearn

Eblearn is an object-oriented C++ library that implements various machine learning models [Deprecated]

OpenCV

OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.

VIGRA

VIGRA is a genertic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings.

Openpose

A real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Agentic Context Engine

In-context learning framework that allows agents to learn from execution feedback.

Speedster

Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware. [DEEP LEARNING]

BanditLib

A simple Multi-armed Bandit library. [Deprecated]

Caffe

A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING]

CatBoost

General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.

CNTK

The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.

CUDA

This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING]

DeepDetect

A machine learning API and server written in C++11. It makes state of the art machine learning easy to work with and integrate into existing applications.

Distributed Machine learning Tool Kit (DMTK)

A distributed machine learning (parameter server) framework by Microsoft. Enables training models on large data sets across multiple machines. Current tools bundled with it include: LightLDA and Distributed (Multisense) Word Embedding.

DLib

A suite of ML tools designed to be easy to imbed in other applications.

DSSTNE

A software library created by Amazon for training and deploying deep neural networks using GPUs which emphasizes speed and scale over experimental flexibility.

DyNet

A dynamic neural network library working well with networks that have dynamic structures that change for every training instance. Written in C++ with bindings in Python.

Fido

A highly-modular C++ machine learning library for embedded electronics and robotics.

FlexML

Easy-to-use and flexible AutoML library for Python.

igraph

General purpose graph library.

Intel® oneAPI Data Analytics Library

A high performance software library developed by Intel and optimized for Intel's architectures. Library provides algorithmic building blocks for all stages of data analytics and allows to process data in batch, online and distributed modes.

LightGBM

Microsoft's fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

libfm

A generic approach that allows to mimic most factorization models by feature engineering.

MCGrad

A production-ready library for multicalibration, fairness, and bias correction in machine learning models.

MiaIA

An open-source C++20 neural-network engine and Unreal Engine 5 Studio for building, training, visualizing, inspecting, and debugging observable feed-forward networks.

MLDB

The Machine Learning Database is a database designed for machine learning. Send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs.

mlpack

A scalable C++ machine learning library.

MXNet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.

N2D2

CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms

oneDNN

An open-source cross-platform performance library for deep learning applications.

Opik

Open source engineering platform to debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. (Source Code)

Ombre

Open source AI infrastructure layer. Eight agents run automatically: security, caching, memory, hallucination detection, and tamper-proof audit trail. Runs locally.

ParaMonte

A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.

proNet-core

A general-purpose network embedding framework: pair-wise representations optimization Network Edit.

PyCaret

An open-source, low-code machine learning library in Python that automates machine learning workflows.

PyCUDA

Python interface to CUDA

ROOT

A modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualization and storage.

shark

A fast, modular, feature-rich open-source C++ machine learning library.

Shogun

The Shogun Machine Learning Toolbox.

sofia-ml

Suite of fast incremental algorithms.

Stan

A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling.

Timbl

A software package/C++ library implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification, and IGTree, a decision-tree approximation of IB1-IG. Commonly used for NLP.

Vowpal Wabbit (VW)

A fast out-of-core learning system.

Warp-CTC

A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU.

XGBoost

A parallelized optimized general purpose gradient boosting library.

ThunderGBM

A fast library for GBDTs and Random Forests on GPUs.

ThunderSVM

A fast SVM library on GPUs and CPUs.

LKYDeepNN

A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.

xLearn

A high performance, easy-to-use, and scalable machine learning package, which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data, which is very common in Internet services such as online…

Featuretools

A library for automated feature engineering. It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives".

skynet

A library for learning neural networks, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C#.

Feast

A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving.

Hopsworks

A data-intensive platform for AI with the industry's first open-source feature store. The Hopsworks Feature Store provides both a feature warehouse for training and batch based on Apache Hive and a feature serving database, based on MySQL Cluster, for online applications.

Polyaxon

A platform for reproducible and scalable machine learning and deep learning.

QuestDB

A relational column-oriented database designed for real-time analytics on time series and event data.

Phoenix

Uncover insights, surface problems, monitor and fine tune your generative LLM, CV and tabular models.

XAD

Comprehensive backpropagation tool for C++.

Truss

An open source framework for packaging and serving ML models.

nndeploy

An Easy-to-Use and High-Performance AI deployment framework.

ols-regression-engine

A low-level Linear Regression Engine utilizing the Ordinary Least Squares (OLS) method and QR decomposition.

BLLIP Parser

BLLIP Natural Language Parser (also known as the Charniak-Johnson parser).

colibri-core

C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.

CRF++

Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks. [Deprecated]

CRFsuite

CRFsuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. [Deprecated]

frog

Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.

libfolia

C++ library for the FoLiA format

MeTA

MeTA : ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.

MIT Information Extraction Toolkit

C, C++, and Python tools for named entity recognition and relation extraction

ucto

Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.

SentencePiece

A C++ library for unsupervised text tokenization and detokenization, widely used in modern NLP models.

Kaldi

Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.

Vosk

An offline speech recognition toolkit with C++ support, designed for low-resource devices and multiple languages.

VoxRT

On-device streaming speech recognition runtime with C API for Linux (aarch64/x86_64). Based on NVIDIA NeMo FastConformer (80 ms cache-aware lookahead). Companion Silero VAD, wake-word, and 14-command KWS via same runtime.

ToPS

This is an object-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet. [Deprecated]

grt

The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.

RLtools

The fastest deep reinforcement learning library for continuous control, implemented header-only in pure, dependency-free C++ (Python bindings available as well).

mgl

Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.

mgl-gpr

Evolutionary algorithms. [Deprecated]

cl-libsvm

Wrapper for the libsvm support vector machine library. [Deprecated]

cl-online-learning

Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).

cl-random-forest

Implementation of Random Forest in Common Lisp.

Clojure-openNLP

Natural Language Processing in Clojure (opennlp).

Infections-clj

Rails-like inflection library for Clojure and ClojureScript.

scicloj.ml

A idiomatic Clojure machine learning library based on tech.ml.dataset with a unique approach for immutable data processing pipelines.

clj-ml

A machine learning library for Clojure built on top of Weka and friends.

clj-boost

Wrapper for XGBoost

Touchstone

Clojure A/B testing library.

Clojush

The Push programming language and the PushGP genetic programming system implemented in Clojure.

lambda-ml

Simple, concise implementations of machine learning techniques and utilities in Clojure.

Infer

Inference and machine learning in Clojure. [Deprecated]

Encog

Clojure wrapper for Encog (v3) (Machine-Learning framework that specializes in neural-nets). [Deprecated]

Fungp

A genetic programming library for Clojure. [Deprecated]

Statistiker

Basic Machine Learning algorithms in Clojure. [Deprecated]

clortex

General Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated]

comportex

Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated]

MXNet

Bindings to Apache MXNet - part of the MXNet project

Deep Diamond

A fast Clojure Tensor & Deep Learning library

jutsu.ai

Clojure wrapper for deeplearning4j with some added syntactic sugar.

cortex

Neural networks, regression and feature learning in Clojure.

Flare

Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.)

dl4clj

Clojure wrapper for Deeplearning4j.

tech.ml.dataset

Clojure dataframe library and pipeline for data processing and machine learning

Tablecloth

A dataframe grammar wrapping tech.ml.dataset, inspired by several R libraries

Panthera

Clojure API wrapping Python's Pandas library

Incanter

Incanter is a Clojure-based, R-like platform for statistical computing and graphics.

PigPen

Map-Reduce for Clojure.

Geni

a Clojure dataframe library that runs on Apache Spark

Hanami

Clojure(Script) library and framework for creating interactive visualization applications based in Vega-Lite (VGL) and/or Vega (VG) specifications. Automatic framing and layouts along with a powerful templating system for abstracting visualization specs

Saite

Clojure(Script) client/server application for dynamic interactive explorations and the creation of live shareable documents capturing them using Vega/Vega-Lite, CodeMirror, markdown, and LaTeX

Oz

Data visualisation using Vega/Vega-Lite and Hiccup, and a live-reload platform for literate-programming

Envision

Clojure Data Visualisation library, based on Statistiker and D3.

Pink Gorilla Notebook

A Clojure/Clojurescript notebook application/-library based on Gorilla-REPL

clojupyter

A Jupyter kernel for Clojure - run Clojure code in Jupyter Lab, Notebook and Console.

notespace

Notebook experience in your Clojure namespace

Delight

A listener that streams your spark events logs to delight, a free and improved spark UI

Java Interop

Clojure has Native Java Interop from which Java's ML ecosystem can be accessed

JavaScript Interop

ClojureScript has Native JavaScript Interop from which JavaScript's ML ecosystem can be accessed

Libpython-clj

Interop with Python

ClojisR

Interop with R and Renjin (R on the JVM)

Neanderthal

Fast Clojure Matrix Library (native CPU, GPU, OpenCL, CUDA)

kixistats

A library of statistical distribution sampling and transducing functions

fastmath

A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries

matlib

A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.

Scicloj

Curated list of ML related resources for Clojure.

machine

Simple machine learning algorithm.

crystal-fann

FANN (Fast Artificial Neural Network) binding.

Knowledge3D (K3D)

Sovereign GPU-native spatial AI architecture with PTX-first cognitive engine (RPN/TRM reasoning), tri-modal fusion (text/visual/audio), and 3D persistent memory ("Houses"). Features sub-100µs inference, procedural knowledge compression (69:1 ratio), and multi-agent swarm architecture. Zero…

Simple Bayes

A Simple Bayes / Naive Bayes implementation in Elixir.

emel

A simple and functional machine learning library written in Elixir.

Tensorflex

Tensorflow bindings for the Elixir programming language.

Stemmer

An English (Porter2) stemming implementation in Elixir.

Disco

Map Reduce in Erlang. [Deprecated]

neural-fortran

A parallel neural net microframework. Read the paper here.

ParaMonte

A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.

Cybertron

Cybertron: the home planet of the Transformers in Go.

snowball

Snowball Stemmer for Go.

word-embedding

Word Embeddings: the full implementation of word2vec, GloVe in Go.

sentences

Golang implementation of Punkt sentence tokenizer.

go-ngram

In-memory n-gram index with compression. [Deprecated]

paicehusk

Golang implementation of the Paice/Husk Stemming Algorithm. [Deprecated]

go-porterstemmer

A native Go clean room implementation of the Porter Stemming algorithm. [Deprecated]

Spago

Self-contained Machine Learning and Natural Language Processing library in Go.

birdland

A recommendation library in Go.

eaopt

An evolutionary optimization library.

leaves

A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.

gobrain

Neural Networks written in Go.

go-featureprocessing

Fast and convenient feature processing for low latency machine learning in Go.

go-mxnet-predictor

Go binding for MXNet c_predict_api to do inference with a pre-trained model.

go-ml-benchmarks

benchmarks of machine learning inference for Go.

go-ml-transpiler

An open source Go transpiler for machine learning models.

golearn

Machine learning for Go.

goml

Machine learning library written in pure Go.

gorgonia

Deep learning in Go.

goro

A high-level machine learning library in the vein of Keras.

gorse

An offline recommender system backend based on collaborative filtering written in Go.

therfoo

An embedded deep learning library for Go.

anneal

From-scratch Go port of tinygrad: a graph-rewrite ML compiler with reverse-mode autodiff and a WebGPU backend.

neat

Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT). [Deprecated]

go-pr

Pattern recognition package in Go lang. [Deprecated]

go-ml

Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. [Deprecated]

GoNN

GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. [Deprecated]

bayesian

Naive Bayesian Classification for Golang. [Deprecated]

go-galib

Genetic Algorithms library written in Go / Golang. [Deprecated]

Cloudforest

Ensembles of decision trees in Go/Golang. [Deprecated]

go-dnn

Deep Neural Networks for Golang (powered by MXNet)

go-geom

Go library to handle geometries.

gogeo

Spherical geometry in Go.

dataframe-go

Dataframes for machine-learning and statistics (similar to pandas).

gota

Dataframes.

gonum/mat

A linear algebra package for Go.

gonum/optimize

Implementations of optimization algorithms.

gonum/plot

A plotting library.

gonum/stat

A statistics library.

SVGo

The Go Language library for SVG generation.

glot

Glot is a plotting library for Golang built on top of gnuplot.

globe

Globe wireframe visualization.

gonum/graph

General-purpose graph library.

go-graph

Graph library for Go/Golang language. [Deprecated]

RF

Random forests implementation in Go. [Deprecated]

GoCV

Package for computer vision using OpenCV 4 and beyond.

VoxRT

On-device streaming speech recognition runtime with C API for Linux (aarch64/x86_64). Based on NVIDIA NeMo FastConformer (80 ms cache-aware lookahead). Companion Silero VAD, wake-word, and 14-command KWS via same runtime.

gold

A reinforcement learning library.

stable-baselines3

PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.

haskell-ml

Haskell implementations of various ML algorithms. [Deprecated]

HLearn

a suite of libraries for interpreting machine learning models according to their algebraic structure. [Deprecated]

hnn

Haskell Neural Network library.

hopfield-networks

Hopfield Networks for unsupervised learning in Haskell. [Deprecated]

DNNGraph

A DSL for deep neural networks. [Deprecated]

LambdaNet

Configurable Neural Networks in Haskell. [Deprecated]

Cortical.io

Retina: an API performing complex NLP operations (disambiguation, classification, streaming text filtering, etc...) as quickly and intuitively as the brain.

IRIS

Cortical.io's FREE NLP, Retina API Analysis Tool (written in JavaFX!) - See the Tutorial Video.

CoreNLP

Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words.

Stanford Parser

A natural language parser is a program that works out the grammatical structure of sentences.

Stanford POS Tagger

A Part-Of-Speech Tagger (POS Tagger).

Stanford Name Entity Recognizer

Stanford NER is a Java implementation of a Named Entity Recognizer.

Stanford Word Segmenter

Tokenization of raw text is a standard pre-processing step for many NLP tasks.

Tregex, Tsurgeon and Semgrex

Tregex is a utility for matching patterns in trees, based on tree relationships and regular expression matches on nodes (the name is short for "tree regular expressions").

Stanford Phrasal: A Phrase-Based Translation System

Stanford English Tokenizer

Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java.

Stanford Tokens Regex

A tokenizer divides text into a sequence of tokens, which roughly correspond to "words".

Stanford Temporal Tagger

SUTime is a library for recognizing and normalizing time expressions.

Stanford SPIED

Learning entities from unlabeled text starting with seed sets using patterns in an iterative fashion.

Twitter Text Java

A Java implementation of Twitter's text processing library.

MALLET

A Java-based package for statistical natural language processing, document classification, clustering, topic modelling, information extraction, and other machine learning applications to text.

OpenNLP

A machine learning based toolkit for the processing of natural language text.

LingPipe

A tool kit for processing text using computational linguistics.

ClearTK

ClearTK provides a framework for developing statistical natural language processing (NLP) components in Java and is built on top of Apache UIMA. [Deprecated]

Apache cTAKES

Apache Clinical Text Analysis and Knowledge Extraction System (cTAKES) is an open-source natural language processing system for information extraction from electronic medical record clinical free-text.

NLP4J

The NLP4J project provides software and resources for natural language processing. The project started at the Center for Computational Language and EducAtion Research, and is currently developed by the Center for Language and Information Research at Emory University. [Deprecated]

CogcompNLP

This project collects a number of core libraries for Natural Language Processing (NLP) developed in the University of Illinois' Cognitive Computation Group, for example illinois-core-utilities which provides a set of NLP-friendly data structures and a number of NLP-related utilities that support…

aerosolve

A machine learning library by Airbnb designed from the ground up to be human friendly.

AMIDST Toolbox

A Java Toolbox for Scalable Probabilistic Machine Learning.

Chips-n-Salsa

A Java library for genetic algorithms, evolutionary computation, and stochastic local search, with a focus on self-adaptation / self-tuning, as well as parallel execution.

Datumbox

Machine Learning framework for rapid development of Machine Learning and Statistical applications.

ELKI

Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)

Encog

An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trainings using multithreaded resilient propagation. Encog can also make use of a GPU to…

FlinkML in Apache Flink

Distributed machine learning library in Flink.

H2O

ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.

htm.java

General Machine Learning library using Numenta’s Cortical Learning Algorithm.

jSciPy

A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.

liblinear-java

Java version of liblinear.

Mahout

Distributed machine learning.

Meka

An open source implementation of methods for multi-label classification and evaluation (extension to Weka).

MLlib in Apache Spark

Distributed machine learning library in Spark.

Hydrosphere Mist

a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.

Neuroph

Neuroph is lightweight Java neural network framework.

ORYX

Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.

Samoa

SAMOA is a framework that includes distributed machine learning for data streams with an interface to plug-in different stream processing platforms.

RankLib

RankLib is a library of learning to rank algorithms. [Deprecated]

rapaio

statistics, data mining and machine learning toolbox in Java.

RapidMiner

RapidMiner integration into Java code.

Stanford Classifier

A classifier is a machine learning tool that will take data items and place them into one of k classes.

Smile

Statistical Machine Intelligence & Learning Engine.

SystemML

flexible, scalable machine learning (ML) language.

Tribou

A machine learning library written in Java by Oracle.

Weka

Weka is a collection of machine learning algorithms for data mining tasks.

LBJava

Learning Based Java is a modelling language for the rapid development of software systems, offers a convenient, declarative syntax for classifier and constraint definition directly in terms of the objects in the programmer's application.

knn-java-library

Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.

CMU Sphinx

Open Source Toolkit For Speech Recognition purely based on Java speech recognition library.

Flink

Open source platform for distributed stream and batch data processing.

Hadoop

Hadoop/HDFS.

Onyx

Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.

Spark

Spark is a fast and general engine for large-scale data processing.

Storm

Storm is a distributed realtime computation system.

Impala

Real-time Query for Hadoop.

DataMelt

Mathematics software for numeric computation, statistics, symbolic calculations, data analysis and data visualization.

Dr. Michael Thomas Flanagan's Java Scientific Library.

[Deprecated]

Deeplearning4j

Scalable deep learning for industry with parallel GPUs.

Keras Beginner Tutorial

Friendly guide on using Keras to implement a simple Neural Network in Python.

deepjavalibrary/djl

Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning, designed to be easy to get started with and simple to use for Java developers.

Twitter Text Java

A Java implementation of Twitter's text processing library.

natural

General natural language facilities for node.

Knwl.js

A Natural Language Processor in JS.

Retext

Extensible system for analyzing and manipulating natural language.

NLP Compromise

Natural Language processing in the browser.

nlp.js

An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.

Glyph

Framework-agnostic TypeScript library for generating, searching, and comparing MinHash fingerprints for fast text similarity, deduplication, and retrieval.

D3.js

Allows the user to manipulate documents based on data to render charts in SVG.

High Charts

A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application.

NVD3.js

chart components for d3.js.

dc.js

D3 Library with crossfilter support

chartjs

Create simple (or advanced) visualizations of data for web and mobile. Additional Information: GitHub.

dimple

Easy charts for business analytics powered by d3.

amCharts

Three libraries for traditional charts, stock, and maps. Features a hand-drawn style theme option.

D3xter

Straight forward plotting built on D3. [Deprecated]

statkit

Statistics kit for JavaScript. [Deprecated]

datakit

A lightweight framework for data analysis in JavaScript

science.js

Scientific and statistical computing in JavaScript. [Deprecated]

Z3d

Easily make interactive 3d plots built on Three.js [Deprecated]

Sigma.js

JavaScript library dedicated to graph drawing.

C3.js

customizable library based on D3.js for easy chart drawing.

Datamaps

Customizable SVG map/geo visualizations using D3.js. [Deprecated]

ZingChart

library written on Vanilla JS for big data visualization.

cheminfo

Platform for data visualization and analysis, using the visualizer project.

Learn JS Data

AnyChart

AnyChart Component for Ember CLI provides an easy way to use AnyChart JavaScript Charts with Ember Framework

FusionCharts

Nivo

built on top of the awesome d3 and Reactjs libraries

Auto ML

Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! [Deprecated]

Catniff

Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.

Convnet.js

ConvNetJS is a JavaScript library for training Deep Learning models[DEEP LEARNING] [Deprecated]

Creatify MCP

Model Context Protocol server that exposes Creatify AI's video generation capabilities to AI assistants, enabling natural language video creation workflows.

Clusterfck

Agglomerative hierarchical clustering implemented in JavaScript for Node.js and the browser. [Deprecated]

Clustering.js

Clustering algorithms implemented in JavaScript for Node.js and the browser. [Deprecated]

Decision Trees

NodeJS Implementation of Decision Tree using ID3 Algorithm. [Deprecated]

DN2A

Digital Neural Networks Architecture. [Deprecated]

figue

K-means, fuzzy c-means and agglomerative clustering.

Gaussian Mixture Model

Unsupervised machine learning with multivariate Gaussian mixture model.

Node-fann

FANN (Fast Artificial Neural Network Library) bindings for Node.js [Deprecated]

Keras.js

Run Keras models in the browser, with GPU support provided by WebGL 2.

Kmeans.js

Simple JavaScript implementation of the k-means algorithm, for node.js and the browser. [Deprecated]

LDA.js

LDA topic modelling for Node.js

Learning.js

JavaScript implementation of logistic regression/c4.5 decision tree [Deprecated]

machinelearn.js

Machine Learning library for the web, Node.js and developers

mil-tokyo

List of several machine learning libraries.

Node-SVM

Support Vector Machine for Node.js

Brain

Neural networks in JavaScript [Deprecated]

Brain.js

Neural networks in JavaScript - continued community fork of Brain.

Bayesian-Bandit

Bayesian bandit implementation for Node and the browser. [Deprecated]

Synaptic

Architecture-free neural network library for Node.js and the browser.

kNear

JavaScript implementation of the k nearest neighbors algorithm for supervised learning.

NeuralN

C++ Neural Network library for Node.js. It has advantage on large dataset and multi-threaded training. [Deprecated]

kalman

Kalman filter for JavaScript. [Deprecated]

shaman

Node.js library with support for both simple and multiple linear regression. [Deprecated]

ml.js

Machine learning and numerical analysis tools for Node.js and the Browser!

ml5

Friendly machine learning for the web!

Pavlov.js

Reinforcement learning using Markov Decision Processes.

MXNet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.

TensorFlow.js

A WebGL accelerated, browser based JavaScript library for training and deploying ML models.

JSMLT

Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).

xgboost-node

Run XGBoost model and make predictions in Node.js.

Netron

Visualizer for machine learning models.

tensor-js

A deep learning library for the browser, accelerated by WebGL and WebAssembly.

WebDNN

Fast Deep Neural Network JavaScript Framework. WebDNN uses next generation JavaScript API, WebGPU for GPU execution, and WebAssembly for CPU execution.

WebNN

A new web standard that allows web apps and frameworks to accelerate deep neural networks with on-device hardware such as GPUs, CPUs, or purpose-built AI accelerators.

Kandle

A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.

AI on Browser

An educational, pure JavaScript library designed to help developers and students understand the inner workings of ML algorithms without the magic of external libraries.

VoxRT

On-device streaming speech recognition runtime with C API for Linux (aarch64/x86_64). Based on NVIDIA NeMo FastConformer (80 ms cache-aware lookahead). Companion Silero VAD, wake-word, and 14-command KWS via same runtime.

stdlib

A standard library for JavaScript and Node.js, with an emphasis on numeric computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

sylvester

Vector and Matrix math for JavaScript. [Deprecated]

simple-statistics

A JavaScript implementation of descriptive, regression, and inference statistics. Implemented in literate JavaScript with no dependencies, designed to work in all modern browsers (including IE) as well as in Node.js.

regression-js

A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.

Lyric

Linear Regression library. [Deprecated]

GreatCircle

Library for calculating great circle distance.

MLPleaseHelp

MLPleaseHelp is a simple ML resource search engine. You can use this search engine right now at https://jgreenemi.github.io/MLPleaseHelp/, provided via GitHub Pages.

Pipcook

A JavaScript application framework for machine learning and its engineering.

The Bot

Example of how the neural network learns to predict the angle between two points created with Synaptic.

Half Beer

Beer glass classifier created with Synaptic.

NSFWJS

Indecent content checker with TensorFlow.js

Rock Paper Scissors

Rock Paper Scissors trained in the browser with TensorFlow.js

Heroes Wear Masks

A fun TensorFlow.js-based oracle that tells, whether one wears a face mask or not. It can even tell when one wears the mask incorrectly.

MachineLearning

Julia Machine Learning library. [Deprecated]

MLBase

A set of functions to support the development of machine learning algorithms.

PGM

A Julia framework for probabilistic graphical models.

DA

Julia package for Regularized Discriminant Analysis.

Regression

Algorithms for regression analysis (e.g. linear regression and logistic regression). [Deprecated]

Local Regression

Local regression, so smooooth!

Naive Bayes

Simple Naive Bayes implementation in Julia. [Deprecated]

Mixed Models

A Julia package for fitting (statistical) mixed-effects models.

Simple MCMC

basic MCMC sampler implemented in Julia. [Deprecated]

Distances

Julia module for Distance evaluation.

Decision Tree

Decision Tree Classifier and Regressor.

Neural

A neural network in Julia.

MCMC

MCMC tools for Julia. [Deprecated]

Mamba

Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.

GLM

Generalized linear models in Julia.

Gaussian Processes

Julia package for Gaussian processes.

Online Learning

[Deprecated]

GLMNet

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.

Clustering

Basic functions for clustering data: k-means, dp-means, etc.

SVM

SVM for Julia. [Deprecated]

Kernel Density

Kernel density estimators for Julia.

MultivariateStats

Methods for dimensionality reduction.

NMF

A Julia package for non-negative matrix factorization.

ANN

Julia artificial neural networks. [Deprecated]

Mocha

Deep Learning framework for Julia inspired by Caffe. [Deprecated]

XGBoost

eXtreme Gradient Boosting Package in Julia.

ManifoldLearning

A Julia package for manifold learning and nonlinear dimensionality reduction.

MXNet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.

Merlin

Flexible Deep Learning Framework in Julia.

ROCAnalysis

Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers.

GaussianMixtures

Large scale Gaussian Mixture Models.

ScikitLearn

Julia implementation of the scikit-learn API.

Knet

Koç University Deep Learning Framework.

Flux

Relax! Flux is the ML library that doesn't make you tensor

MLJ

A Julia machine learning framework.

CluGen

Multidimensional cluster generation in Julia.

Topic Models

TopicModels for Julia. [Deprecated]

Text Analysis

Julia package for text analysis.

Word Tokenizers

Tokenizers for Natural Language Processing in Julia

Corpus Loaders

A Julia package providing a variety of loaders for various NLP corpora.

Embeddings

Functions and data dependencies for loading various word embeddings

Languages

Julia package for working with various human languages

WordNet

A Julia package for Princeton's WordNet

Graph Layout

Graph layout algorithms in pure Julia.

LightGraphs

Graph modelling and analysis.

Data Frames Meta

Metaprogramming tools for DataFrames.

Julia Data

library for working with tabular data in Julia. [Deprecated]

Data Read

Read files from Stata, SAS, and SPSS.

Hypothesis Tests

Hypothesis tests for Julia.

Gadfly

Crafty statistical graphics for Julia.

Stats

Statistical tests for Julia.

RDataSets

Julia package for loading many of the data sets available in R.

DataFrames

library for working with tabular data in Julia.

Distributions

A Julia package for probability distributions and associated functions.

Data Arrays

Data structures that allow missing values. [Deprecated]

Time Series

Time series toolkit for Julia.

Sampling

Basic sampling algorithms for Julia.

DSP

Digital Signal Processing (filtering, periodograms, spectrograms, window functions).

JuliaCon Presentations

Presentations for JuliaCon.

Images

An image library for Julia.

DataDeps

Reproducible data setup for reproducible science.

KotlinDL

Deep learning framework written in Kotlin.

VoxRT

On-device streaming speech recognition SDK for Android with Kotlin bindings (JitPack). Based on NVIDIA NeMo FastConformer (80 ms cache-aware lookahead). Companion Silero VAD, wake-word, and 14-command KWS via same runtime.

Torch7

Scientific computing framework with wide support for machine learning algorithms, used by Facebook, Google, and more.

cephes

Cephes mathematical functions library, wrapped for Torch. Provides and wraps the 180+ special mathematical functions from the Cephes mathematical library, developed by Stephen L. Moshier. It is used, among many other places, at the heart of SciPy. [Deprecated]

autograd

Autograd automatically differentiates native Torch code. Inspired by the original Python version.

graph

Graph package for Torch. [Deprecated]

randomkit

Numpy's randomkit, wrapped for Torch. [Deprecated]

signal

A signal processing toolbox for Torch-7. FFT, DCT, Hilbert, cepstrums, stft.

nn

Neural Network package for Torch.

torchnet

framework for torch which provides a set of abstractions aiming at encouraging code re-use as well as encouraging modular programming.

nngraph

This package provides graphical computation for nn library in Torch7.

nnx

A completely unstable and experimental package that extends Torch's builtin nn library.

rnn

A Recurrent Neural Network library that extends Torch's nn. RNNs, LSTMs, GRUs, BRNNs, BLSTMs, etc.

dpnn

Many useful features that aren't part of the main nn package.

dp

A deep learning library designed for streamlining research and development using the Torch7 distribution. It emphasizes flexibility through the elegant use of object-oriented design patterns. [Deprecated]

optim

An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.

unsup

A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). [Deprecated]

manifold

A package to manipulate manifolds.

svm

Torch-SVM library. [Deprecated]

lbfgs

FFI Wrapper for liblbfgs. [Deprecated]

vowpalwabbit

An old vowpalwabbit interface to torch. [Deprecated]

OpenGM

OpenGM is a C++ library for graphical modelling, and inference. The Lua bindings provide a simple way of describing graphs, from Lua, and then optimizing them with OpenGM. [Deprecated]

spaghetti

Spaghetti (sparse linear) module for torch7 by @MichaelMathieu [Deprecated]

LuaSHKit

A Lua wrapper around the Locality sensitive hashing library SHKit [Deprecated]

kernel smoothing

KNN, kernel-weighted average, local linear regression smoothers. [Deprecated]

cutorch

Torch CUDA Implementation.

cunn

Torch CUDA Neural Network Implementation.

imgraph

An image/graph library for Torch. This package provides routines to construct graphs on images, segment them, build trees out of them, and convert them back to images. [Deprecated]

videograph

A video/graph library for Torch. This package provides routines to construct graphs on videos, segment them, build trees out of them, and convert them back to videos. [Deprecated]

saliency

code and tools around integral images. A library for finding interest points based on fast integral histograms. [Deprecated]

stitch

allows us to use hugin to stitch images and apply same stitching to a video sequence. [Deprecated]

sfm

A bundle adjustment/structure from motion package. [Deprecated]

fex

A package for feature extraction in Torch. Provides SIFT and dSIFT modules. [Deprecated]

OverFeat

A state-of-the-art generic dense feature extractor. [Deprecated]

wav2letter

a simple and efficient end-to-end Automatic Speech Recognition (ASR) system from Facebook AI Research.

Numeric Lua

Lunatic Python

SciLua

Numerical/scientific computing framework built on LuaJIT, with an interface to R.

Lua - Numerical Algorithms

[Deprecated]

Lunum

[Deprecated]

Keras GPT Copilot

A python package that integrates an LLM copilot inside the keras model development workflow.

Core torch7 demos repository

.; linear-regression, logistic-regression; face detector (training and detection as separate demos); mst-based-segmenter; train-a-digit-classifier; train-autoencoder; optical flow demo; train-on-housenumbers; train-on-cifar; tracking with deep nets; kinect demo; filter-bank visualization;…

Training a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo)

torch-datasets

Scripts to load several popular datasets including:; BSR 500; CIFAR-10; COIL; Street View House Numbers; MNIST; NORB

Atari2600

Scripts to generate a dataset with static frames from the Arcade Learning Environment.

Contourlets

MATLAB source code that implements the contourlet transform and its utility functions.

Shearlets

MATLAB code for shearlet transform.

Curvelets

The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles.

Bandlets

MATLAB code for bandlet transform.

mexopencv

Collection and a development kit of MATLAB mex functions for OpenCV library.

NLP

A NLP library for Matlab.

Training a deep autoencoder or a classifier on MNIST digits

Training a deep autoencoder or a classifier on MNIST digits[DEEP LEARNING].

Convolutional-Recursive Deep Learning for 3D Object Classification

Convolutional-Recursive Deep Learning for 3D Object Classification[DEEP LEARNING].

Spider

The spider is intended to be a complete object orientated environment for machine learning in Matlab.

LibSVM

A Library for Support Vector Machines.

ThunderSVM

A fast SVM library on GPUs and CPUs.

LibLinear

A Library for Large Linear Classification.

Machine Learning Module

Class on machine w/ PDF, lectures, code

Caffe

A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING]

Pattern Recognition Toolbox

A complete object-oriented environment for machine learning in Matlab.

Pattern Recognition and Machine Learning

This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.

Optunity

A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly with MATLAB.

MXNet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.

Machine Learning in MatLab/Octave

Examples of popular machine learning algorithms (neural networks, linear/logistic regressions, K-Means, etc.) with code examples and mathematics behind them being explained.

MOCluGen

Multidimensional cluster generation in MATLAB/Octave.

ParaMonte

A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.

matlab_bgl

MatlabBGL is a Matlab package for working with graphs.

gaimc

Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL's mex functions.

OpenCVDotNet

A wrapper for the OpenCV project to be used with .NET applications.

Emgu CV

Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.

AForge.NET

Open source C# framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence. Development has now shifted to GitHub.

Accord.NET

Together with AForge.NET, this library can provide image processing and computer vision algorithms to Windows, Windows RT and Windows Phone. Some components are also available for Java and Android.

Stanford.NLP for .NET

A full port of Stanford NLP packages to .NET and also available precompiled as a NuGet package.

Accord.MachineLearning

Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.

DiffSharp

An automatic differentiation (AD) library providing exact and efficient derivatives (gradients, Hessians, Jacobians, directional derivatives, and matrix-free Hessian- and Jacobian-vector products) for machine learning and optimization applications. Operations can be nested to any level, meaning…

Encog

An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog can also make use of a GPU to…

GeneticSharp

Multi-platform genetic algorithm library for .NET Core and .NET Framework. The library has several implementations of GA operators, like: selection, crossover, mutation, reinsertion and termination.

Infer.NET

Infer.NET is a framework for running Bayesian inference in graphical models. One can use Infer.NET to solve many different kinds of machine learning problems, from standard problems like classification, recommendation or clustering through customized solutions to domain-specific problems.…

ML.NET

ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers. ML.NET was originally developed in Microsoft Research and evolved into a significant framework over the last decade and is used across many product groups in Microsoft like…

Neural Network Designer

DBMS management system and designer for neural networks. The designer application is developed using WPF, and is a user interface which allows you to design your neural network, query the network, create and configure chat bots that are capable of asking questions and learning from your feedback.…

Synapses

Neural network library in F#.

Vulpes

Deep belief and deep learning implementation written in F# and leverages CUDA GPU execution with Alea.cuBase.

MxNet.Sharp

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

numl

numl is a machine learning library intended to ease the use of using standard modelling techniques for both prediction and clustering.

Math.NET Numerics

Numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and everyday use. Supports .Net 4.0, .Net 3.5 and Mono on Windows, Linux and Mac; Silverlight 5, WindowsPhone/SL 8, WindowsPhone 8.1 and Windows 8 with PCL…

Sho

Sho is an interactive environment for data analysis and scientific computing that lets you seamlessly connect scripts (in IronPython) with compiled code (in .NET) to enable fast and flexible prototyping. The environment includes powerful and efficient libraries for linear algebra as well as data…

YCML

A Machine Learning framework for Objective-C and Swift (OS X / iOS).

MLPNeuralNet

Fast multilayer perceptron neural network library for iOS and Mac OS X. MLPNeuralNet predicts new examples by trained neural networks. It is built on top of the Apple's Accelerate Framework, using vectorized operations and hardware acceleration if available. [Deprecated]

MAChineLearning

An Objective-C multilayer perceptron library, with full support for training through backpropagation. Implemented using vDSP and vecLib, it's 20 times faster than its Java equivalent. Includes sample code for use from Swift.

BPN-NeuralNetwork

It implemented 3 layers of neural networks ( Input Layer, Hidden Layer and Output Layer ) and it was named Back Propagation Neural Networks (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis. [Deprecated]

Multi-Perceptron-NeuralNetwork

It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.

KRHebbian-Algorithm

It is a non-supervisory and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. [Deprecated]

KRKmeans-Algorithm

It implemented K-Means clustering and classification algorithm. It could be used in data mining and image compression. [Deprecated]

KRFuzzyCMeans-Algorithm

It implemented Fuzzy C-Means (FCM) the fuzzy clustering / classification algorithm on Machine Learning. It could be used in data mining and image compression. [Deprecated]

Oml

A general statistics and machine learning library.

GPR

Efficient Gaussian Process Regression in OCaml.

Libra-Tk

Algorithms for learning and inference with discrete probabilistic models.

TensorFlow

OCaml bindings for TensorFlow.

OpenCV

A OpenSource Computer Vision Library

Perl Data Language

, a pluggable architecture for data and image processing, which can be used for machine learning.

MXNet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.

Perl Data Language

, a pluggable architecture for data and image processing, which can be used for machine learning.

Algorithm::SVMLight

, implementation of Support Vector Machines with SVMLight under it. [Deprecated]

Support Vector Machines

Naïve Bayes

Perl Data Language

, a pluggable architecture for data and image processing, which can be used for machine learning.

jieba-php

Chinese Words Segmentation Utilities.

PHP-ML

Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.

PredictionBuilder

A library for machine learning that builds predictions using a linear regression.

Rubix ML

A high-level machine learning (ML) library that lets you build programs that learn from data using the PHP language.

19 Questions

A machine learning / bayesian inference assigning attributes to objects.

LightlyTrain

Pretrain computer vision models on unlabeled data for industrial applications

Scikit-Image

A collection of algorithms for image processing in Python.

Scikit-Opt

Swarm Intelligence in Python (Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm, Artificial Fish Swarm Algorithm in Python)

SimpleCV

An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.

VIGRA

VIGRA is a genertic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings.

OpenFace

Free and open source face recognition with deep neural networks.

PCV

Open source Python module for computer vision. [Deprecated]

face_recognition

Face recognition library that recognizes and manipulates faces from Python or from the command line.

deepface

A lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for Python covering cutting-edge models such as VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, Dlib and ArcFace.

retinaface

deep learning based cutting-edge facial detector for Python coming with facial landmarks

dockerface

Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container. [Deprecated]

Detectron

FAIR's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. [Deprecated]

detectron2

FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.

albumentations

А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR…

pytessarct

Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images. Python-tesseract is a wrapper for Google's Tesseract-OCR Engine.

imutils

A library containing Convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

PyTorchCV

A PyTorch-Based Framework for Deep Learning in Computer Vision.

joliGEN

Generative AI Image Toolset with GANs and Diffusion for Real-World Applications.

Gempix2

Free production platform for text-to-image generation using Nano Banana V2 model.

Self-supervised learning

neural-style-pt

A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).

Detecto

Train and run a computer vision model with 5-10 lines of code.

neural-dream

A PyTorch implementation of DeepDream.

Openpose

A real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Deep High-Resolution-Net

A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

TF-GAN

TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).

dream-creator

A PyTorch implementation of DeepDream. Allows individuals to quickly and easily train their own custom GoogleNet models with custom datasets for DeepDream.

Lucent

Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.

lightly

Lightly is a computer vision framework for self-supervised learning.

Learnergy

Energy-based machine learning models built upon PyTorch.

OpenVisionAPI

Open source computer vision API based on open source models.

IoT Owl

Light face detection and recognition system with huge possibilities, based on Microsoft Face API and TensorFlow made for small IoT devices like raspberry pi.

Exadel CompreFace

face recognition system that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, face mask detection, landmark detection, age, and gender recognition and is easily deployed with docker.

computer-vision-in-action

as known as L0CV, is a new generation of computer vision open source online learning media, a cross-platform interactive learning framework integrating graphics, source code and HTML. the L0CV ecosystem — Notebook, Datasets, Source Code, and from Diving-in to Advanced — as well as the L0CV Hub.

timm

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more.

segmentation_models.pytorch

A PyTorch-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it…

segmentation_models

A TensorFlow Keras-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights,…

MLX

MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.

pkuseg-python

A better version of Jieba, developed by Peking University.

NLTK

A leading platform for building Python programs to work with human language data.

Pattern

A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.

Quepy

A python framework to transform natural language questions to queries in a database query language.

TextBlob

Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both.

YAlign

A sentence aligner, a friendly tool for extracting parallel sentences from comparable corpora. [Deprecated]

jieba

Chinese Words Segmentation Utilities.

SnowNLP

A library for processing Chinese text.

spammy

A library for email Spam filtering built on top of NLTK

loso

Another Chinese segmentation library. [Deprecated]

genius

A Chinese segment based on Conditional Random Field.

KoNLPy

A Python package for Korean natural language processing.

nut

Natural language Understanding Toolkit. [Deprecated]

Rosetta

Text processing tools and wrappers (e.g. Vowpal Wabbit)

BLLIP Parser

Python bindings for the BLLIP Natural Language Parser (also known as the Charniak-Johnson parser). [Deprecated]

PyNLPl

Python Natural Language Processing Library. General purpose NLP library for Python. Also contains some specific modules for parsing common NLP formats, most notably for FoLiA, but also ARPA language models, Moses phrasetables, GIZA++ alignments.

PySS3

Python package that implements a novel white-box machine learning model for text classification, called SS3. Since SS3 has the ability to visually explain its rationale, this package also comes with easy-to-use interactive visualizations tools (online demos).

python-ucto

Python binding to ucto (a unicode-aware rule-based tokenizer for various languages).

python-frog

Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)

python-zpar

Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.

colibri-core

C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.

spaCy

Industrial strength NLP with Python and Cython.

PyStanfordDependencies

Python interface for converting Penn Treebank trees to Stanford Dependencies.

Distance

Levenshtein and Hamming distance computation. [Deprecated]

Fuzzy Wuzzy

Fuzzy String Matching in Python.

Neofuzz

Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API.

jellyfish

a python library for doing approximate and phonetic matching of strings.

editdistance

fast implementation of edit distance.

textacy

higher-level NLP built on Spacy.

stanford-corenlp-python

Python wrapper for Stanford CoreNLP [Deprecated]

CLTK

The Classical Language Toolkit.

Rasa

A "machine learning framework to automate text-and voice-based conversations."

yase

Transcode sentence (or other sequence) to list of word vector.

Polyglot

Multilingual text (NLP) processing toolkit.

DrQA

Reading Wikipedia to answer open-domain questions.

Dedupe

A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

Snips NLU

Natural Language Understanding library for intent classification and entity extraction

NeuroNER

Named-entity recognition using neural networks providing state-of-the-art-results

DeepPavlov

conversational AI library with many pre-trained Russian NLP models.

BigARTM

topic modelling platform.

NALP

A Natural Adversarial Language Processing framework built over Tensorflow.

DL Translate

A deep learning-based translation library between 50 languages, built with transformers.

Haystack

A framework for building industrial-strength applications with Transformer models and LLMs.

CometLLM

Track, log, visualize and evaluate your LLM prompts and prompt chains.

NobodyWho

The simplest way to run an LLM locally. Supports tool calling and grammar constrained sampling.

Transformers

A deep learning library containing thousands of pre-trained models on different tasks. The goto place for anything related to Large Language Models.

TextCL

Text preprocessing package for use in NLP tasks.

VeritasGraph

Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution.

yasbd-lib

High-accuracy, rule-based sentence boundary detector (SBD) with drop-in pysbd adapter, streaming APIs, CLI, and a spaCy component across 39+ languages.

ray3.run

AI-powered tools and applications for developers and businesses to enhance productivity and workflow automation. * XAD -> Fast and easy-to-use backpropagation tool.

Aim

> An easy-to-use & supercharged open-source AI metadata tracker.

RexMex

> A general purpose recommender metrics library for fair evaluation.

TopFreePrompts by LucyBrain

> 10,000+ professional AI prompts across 23 categories with systematic training for automating ML workflows and analysis.

ChemicalX

> A PyTorch based deep learning library for drug pair scoring

Microsoft ML for Apache Spark

> A distributed machine learning framework Apache Spark

Shapley

> A data-driven framework to quantify the value of classifiers in a machine learning ensemble.

igel

> A delightful machine learning tool that allows you to train/fit, test and use models without writing code

ML Model building

> A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.

ML/DL project template

PyTorch Frame

> A Modular Framework for Multi-Modal Tabular Learning.

PyTorch Geometric

> Graph Neural Network Library for PyTorch.

PyTorch Geometric Temporal

> A temporal extension of PyTorch Geometric for dynamic graph representation learning.

Little Ball of Fur

> A graph sampling extension library for NetworkX with a Scikit-Learn like API.

Karate Club

> An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.

Auto_ViML

> Automatically Build Variant Interpretable ML models fast! Auto_ViML is pronounced "auto vimal", is a comprehensive and scalable Python AutoML toolkit with imbalanced handling, ensembling, stacking and built-in feature selection. Featured in Medium article.

PyOD

> Python Outlier Detection, comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. Featured for Advanced models, including Neural Networks/Deep Learning and Outlier Ensembles.

steppy

> Lightweight, Python library for fast and reproducible machine learning experimentation. Introduces a very simple interface that enables clean machine learning pipeline design.

steppy-toolkit

> Curated collection of the neural networks, transformers and models that make your machine learning work faster and more effective.

CNTK

The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.

Couler

Unified interface for constructing and managing machine learning workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

Auto ML

Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! [Deprecated]

dtaidistance

High performance library for time series distances (DTW) and time series clustering.

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others).

machine learning

automated build consisting of a web-interface, and set of programmatic-interface API, for support vector machines. Corresponding dataset(s) are stored into a SQL database, then generated model(s) used for prediction(s), are stored into a NoSQL datastore.

XGBoost

A parallelized optimized general purpose gradient boosting library.

InterpretML

InterpretML implements the Explainable Boosting Machine (EBM), a modern, fully interpretable machine learning model based on Generalized Additive Models (GAMs). This open-source package also provides visualization tools for EBMs, other glass-box models, and black-box explanations.

pyinterpret

Unified API for SHAP, LIME, permutation importance, and partial dependence explanations.

ChefBoost

a lightweight decision tree framework for Python with categorical feature support covering regular decision tree algorithms such as ID3, C4.5, CART, CHAID and regression tree; also some advanced bagging and boosting techniques such as gradient boosting, random forest and adaboost.

Apache SINGA

An Apache Incubating project for developing an open source machine learning library.

Bayesian Methods for Hackers

Book/iPython notebooks on Probabilistic Programming in Python.

Featureforge

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API.

MLlib in Apache Spark

Distributed machine learning library in Spark

Hydrosphere Mist

a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.

Towhee

A Python module that encode unstructured data into embeddings.

scikit-learn

A Python module for machine learning built on top of SciPy.

metric-learn

A Python module for metric learning.

MCP Memory Service

Universal memory service with semantic search, autonomous consolidation, and multi-client support for AI applications.

OpenMetricLearning

A PyTorch-based framework to train and validate the models producing high-quality embeddings.

Intel(R) Extension for Scikit-learn

A seamless way to speed up your Scikit-learn applications with no accuracy loss and code changes.

SimpleAI

Python implementation of many of the artificial intelligence algorithms described in the book "Artificial Intelligence, a Modern Approach". It focuses on providing an easy to use, well documented and tested library.

astroML

Machine Learning and Data Mining for Astronomy.

graphlab-create

A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame.

BigML

A library that contacts external servers.

Neurolink

Enterprise-grade LLM integration framework for building production-ready AI applications with built-in hallucination prevention, RAG, and MCP support.

NuPIC

Numenta Platform for Intelligent Computing.

Pylearn2

A Machine Learning library based on Theano. [Deprecated]

keras

High-level neural networks frontend for TensorFlow, CNTK and Theano.

Lasagne

Lightweight library to build and train neural networks in Theano.

hebel

GPU-Accelerated Deep Learning Library in Python. [Deprecated]

Chainer

Flexible neural network framework.

prophet

Fast and automated time series forecasting framework by Facebook.

skforecast

Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others.

Feature-engine

Open source library with an exhaustive battery of feature engineering and selection methods based on pandas and scikit-learn.

PhilanthroPy

A scikit-learn native toolkit for nonprofit and academic-medical-center fundraising analytics: leakage-safe donor propensity, lapse, planned-giving, wealth-screening and revenue-forecasting estimators.

gensim

Topic Modelling for Humans.

Gower Express

The Fastest Gower Distance Implementation for Python. GPU-accelerated similarity matching for mixed data types, 15-25% faster than alternatives with production-ready reliability.

tweetopic

Blazing fast short-text-topic-modelling for Python.

topicwizard

Interactive topic model visualization/interpretation framework.

topik

Topic modelling toolkit. [Deprecated]

PyBrain

Another Python Machine Learning Library.

Brainstorm

Fast, flexible and fun neural networks. This is the successor of PyBrain.

Surprise

A scikit for building and analyzing recommender systems.

implicit

Fast Python Collaborative Filtering for Implicit Datasets.

LightFM

A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.

Crab

A flexible, fast recommender engine. [Deprecated]

python-recsys

A Python library for implementing a Recommender System.

thinking bayes

Book on Bayesian Analysis.

Image-to-Image Translation with Conditional Adversarial Networks

Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING]

Restricted Boltzmann Machines

Restricted Boltzmann Machines in Python. [DEEP LEARNING]

Bolt

Bolt Online Learning Toolbox. [Deprecated]

CoverTree

Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree [Deprecated]

nilearn

Machine learning for NeuroImaging in Python.

neuropredict

Aimed at novice machine learners and non-expert programmers, this package offers easy (no coding needed) and comprehensive machine learning (evaluation and full report of predictive performance WITHOUT requiring you to code) in Python for NeuroImaging and any other type of features. This is aimed…

imbalanced-learn

Python module to perform under sampling and oversampling with various techniques.

imbalanced-ensemble

Python toolbox for quick implementation, modification, evaluation, and visualization of ensemble learning algorithms for class-imbalanced data. Supports out-of-the-box multi-class imbalanced (long-tailed) classification.

Shogun

The Shogun Machine Learning Toolbox.

Pyevolve

Genetic algorithm framework. [Deprecated]

Caffe

A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING]

breze

Theano based library for deep and recurrent neural networks.

Cortex

Open source platform for deploying machine learning models in production.

pyhsmm

library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.

SKLL

A wrapper around scikit-learn that makes it simpler to conduct experiments.

neurolab

Spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012. [Deprecated]

Pebl

Python Environment for Bayesian Learning. [Deprecated]

Theano

Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python.

TensorFlow

Open source software library for numerical computation using data flow graphs.

pomegranate

Hidden Markov Models for Python, implemented in Cython for speed and efficiency.

python-timbl

A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.

deap

Evolutionary algorithm framework.

pydeep

Deep Learning In Python. [Deprecated]

mlxtend

A library consisting of useful tools for data science and machine learning tasks.

neon

Nervana's high-performance Python-based Deep Learning framework [DEEP LEARNING]. [Deprecated]

Optunity

A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly with MATLAB.

Neural Networks and Deep Learning

Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].

Annoy

Approximate nearest neighbours implementation.

TPOT

Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.

pgmpy

A python library for working with Probabilistic Graphical Models.

DIGITS

The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.

Orange

Open source data visualization and data analysis for novices and experts.

MXNet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.

milk

Machine learning toolkit focused on supervised classification. [Deprecated]

TFLearn

Deep learning library featuring a higher-level API for TensorFlow.

REP

an IPython-based environment for conducting data-driven research in a consistent and reproducible way. REP is not trying to substitute scikit-learn, but extends it and provides better user experience. [Deprecated]

rgf_python

Python bindings for Regularized Greedy Forest (Tree) Library.

skbayes

Python package for Bayesian Machine Learning with scikit-learn API.

fuku-ml

Simple machine learning library, including Perceptron, Regression, Support Vector Machine, Decision Tree and more, it's easy to use and easy to learn for beginners.

Xcessiv

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling.

PyTorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch Lightning

The lightweight PyTorch wrapper for high-performance AI research.

PyTorch Lightning Bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

skorch

A scikit-learn compatible neural network library that wraps PyTorch.

ML-From-Scratch

Implementations of Machine Learning models from scratch in Python with a focus on transparency. Aims to showcase the nuts and bolts of ML in an accessible way.

Edward

A library for probabilistic modelling, inference, and criticism. Built on top of TensorFlow.

xRBM

A library for Restricted Boltzmann Machine (RBM) and its conditional variants in Tensorflow.

CatBoost

General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.

stacked_generalization

Implementation of machine learning stacking technique as a handy library in Python.

modAL

A modular active learning framework for Python, built on top of scikit-learn.

Cogitare

A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.

Leanpass

A lightweight, NumPy-only autodiff library for small ML projects and learning how backpropagation works. It is 700x times lighter than Pytorch and 900x times lighter than TensorFlow.

Parris

Parris, the automated infrastructure setup tool for machine learning algorithms.

neonrvm

neonrvm is an open source machine learning library based on RVM technique. It's written in C programming language and comes with Python programming language bindings.

Turi Create

Machine learning from Apple. Turi Create simplifies the development of custom machine learning models. You don't have to be a machine learning expert to add recommendations, object detection, image classification, image similarity or activity classification to your app.

xLearn

A high performance, easy-to-use, and scalable machine learning package, which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data, which is very common in Internet services such as online…

mlens

A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.

Thampi

Machine Learning Prediction System on AWS Lambda

MindsDB

Open Source framework to streamline use of neural networks.

Microsoft Recommenders

Examples and best practices for building recommendation systems, provided as Jupyter notebooks. The repo contains some of the latest state of the art algorithms from Microsoft Research as well as from other companies and institutions.

StellarGraph

Machine Learning on Graphs, a Python library for machine learning on graph-structured (network-structured) data.

BentoML

Toolkit for package and deploy machine learning models for serving in production

MiraiML

An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.

numpy-ML

Reference implementations of ML models written in numpy

Neuraxle

A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.

Cornac

A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.

JAX

JAX is Autograd and XLA, brought together for high-performance machine learning research.

Catalyst

High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing. Being able to research/develop something new, rather than write another regular train loop.

Fastai

High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.

scikit-multiflow

A machine learning framework for multi-output/multi-label and stream data.

Lightwood

A Pytorch based framework that breaks down machine learning problems into smaller blocks that can be glued together seamlessly with objective to build predictive models with one line of code.

bayeso

A simple, but essential Bayesian optimization package, written in Python.

mljar-supervised

An Automated Machine Learning (AutoML) python package for tabular data. It can handle: Binary Classification, MultiClass Classification and Regression. It provides explanations and markdown reports.

evostra

A fast Evolution Strategy implementation in Python.

Determined

Scalable deep learning training platform, including integrated support for distributed training, hyperparameter tuning, experiment tracking, and model management.

PySyft

A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.

PyGrid

Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft

sktime

A unified framework for machine learning with time series

OPFython

A Python-inspired implementation of the Optimum-Path Forest classifier.

Opytimizer

Python-based meta-heuristic optimization techniques.

Gradio

A Python library for quickly creating and sharing demos of models. Debug models interactively in your browser, get feedback from collaborators, and generate public links without deploying anything.

Hub

Fastest unstructured dataset management for TensorFlow/PyTorch. Stream & version-control data. Store even petabyte-scale data in a single numpy-like array on the cloud accessible on any machine. Visit activeloop.ai for more info.

Synthia

Multidimensional synthetic data generation in Python.

ByteHub

An easy-to-use, Python-based feature store. Optimized for time-series data.

Backprop

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

River

A framework for general purpose online machine learning.

FEDOT

An AutoML framework for the automated design of composite modelling pipelines. It can handle classification, regression, and time series forecasting tasks on different types of data (including multi-modal datasets).

Sklearn-genetic-opt

An AutoML package for hyperparameters tuning using evolutionary algorithms, with built-in callbacks, plotting, remote logging and more.

Evidently

Interactive reports to analyze machine learning models during validation or production monitoring.

Streamlit

Streamlit is an framework to create beautiful data apps in hours, not weeks.

Optuna

Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.

Deepchecks

Validation & testing of machine learning models and data during model development, deployment, and production. This includes checks and suites related to various types of issues, such as model performance, data integrity, distribution mismatches, and more.

Shapash

Shapash is a Python library that provides several types of visualization that display explicit labels that everyone can understand.

Eurybia

Eurybia monitors data and model drift over time and securizes model deployment with data validation.

Colossal-AI

An open-source deep learning system for large-scale model training and inference with high efficiency and low cost.

skrub

Skrub is a Python library that eases preprocessing and feature engineering for machine learning on dataframes.

Upgini

Free automated data & feature enrichment library for machine learning - automatically searches through thousands of ready-to-use features from public and community shared data sources and enriches your training dataset with only the accuracy improving features.

AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

A tutorial to help machine learning researchers to automatically obtain optimized machine learning models with the optimal learning performance on any specific task.

SKBEL

A Python library for Bayesian Evidential Learning (BEL) in order to estimate the uncertainty of a prediction.

NannyML

Python library capable of fully capturing the impact of data drift on performance. Allows estimation of post-deployment model performance without access to targets.

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

AutoGluon

AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data.

PyBroker

Algorithmic Trading with Machine Learning.

Frouros

Frouros is an open source Python library for drift detection in machine learning systems.

Adaptive Reliability Layer

A bounded controller for production ML under distribution shift — detects drift, learns from delayed labels, and takes the smallest safe steering step to defer unnecessary retrains.

CometML

The best-in-class MLOps platform with experiment tracking, model production monitoring, a model registry, and data lineage from training straight through to production.

ClearML

Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution.

Okrolearn

A python machine learning library created to combine powefull data analasys features with tensors and machine learning components, while maintaining support for other libraries.

Opik

Evaluate, trace, test, and ship LLM applications across your dev and production lifecycles.

pyclugen

Multidimensional cluster generation in Python.

mlforgex

Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.

autobatcher

Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.

DataComPy

A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.

DataVisualization

A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level.

Cartopy

Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.

SciPy

A Python-based ecosystem of open-source software for mathematics, science, and engineering.

NumPy

A fundamental package for scientific computing with Python.

AutoViz

AutoViz performs automatic visualization of any dataset with a single line of Python code. Give it any input file (CSV, txt or JSON) of any size and AutoViz will visualize it. See Medium article.

Numba

Python JIT (just in time) compiler to LLVM aimed at scientific Python by the developers of Cython and NumPy.

Mars

A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.

NetworkX

A high-productivity software for complex networks.

igraph

binding to igraph library - General purpose graph library.

Pandas

A library providing high-performance, easy-to-use data structures and data analysis tools.

ParaMonte

A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.

Vaex

A high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. Documentation can be found here.

Open Mining

Business Intelligence (BI) in Python (Pandas web interface) [Deprecated]

PyMC

Markov Chain Monte Carlo sampling toolkit.

zipline

A Pythonic algorithmic trading library.

PyDy

Short for Python Dynamics, used to assist with workflow in the modelling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.

SymPy

A Python library for symbolic mathematics.

statsmodels

Statistical modelling and econometrics in Python.

astropy

A community Python library for Astronomy.

matplotlib

A Python 2D plotting library.

bokeh

Interactive Web Plotting for Python.

plotly

Collaborative web plotting for Python and matplotlib.

altair

A Python to Vega translator.

d3py

A plotting library for Python, based on D3.js.

PyDexter

Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.

ggplot

Same API as ggplot2 for R. [Deprecated]

ggfortify

Unified interface to ggplot2 popular R packages.

Kartograph.py

Rendering beautiful SVG maps in Python.

pygal

A Python SVG Charts Creator.

PyQtGraph

A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.

pycascading

[Deprecated]

Petrel

Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python.

Blaze

NumPy and Pandas interface to Big Data.

emcee

The Python ensemble sampling toolkit for affine-invariant MCMC.

windML

A Python Framework for Wind Energy Analysis and Prediction.

vispy

GPU-based high-performance interactive OpenGL 2D/3D data visualization library.

cerebro2

A web-based visualization and debugging platform for NuPIC. [Deprecated]

NuPIC Studio

An all-in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool! [Deprecated]

SparklingPandas

Pandas on PySpark (POPS).

Seaborn

A python visualization library based on matplotlib.

ipychart

The power of Chart.js in Jupyter Notebook.

bqplot

An API for plotting in Jupyter (IPython).

pastalog

Simple, realtime visualization of neural network training performance.

Superset

A data exploration platform designed to be visual, intuitive, and interactive.

Dora

Tools for exploratory data analysis in Python.

Ruffus

Computation Pipeline library for python.

SOMPY

Self Organizing Map written in Python (Uses neural networks for data analysis).

somoclu

Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.

HDBScan

implementation of the hdbscan algorithm in Python - used for clustering

visualize_ML

A python package for data exploration and data analysis. [Deprecated]

scikit-plot

A visualization library for quick and easy generation of common plots in data analysis and machine learning.

Bowtie

A dashboard library for interactive visualizations using flask socketio and react.

lime

Lime is about explaining what machine learning classifiers (or models) are doing. It is able to explain any black box classifier, with two or more classes.

PyCM

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters

Dash

A framework for creating analytical web applications built on top of Plotly.js, React, and Flask

Lambdo

A workflow engine for solving machine learning problems by combining in one analysis pipeline (i) feature engineering and machine learning (ii) model training and prediction (iii) table population and column evaluation via user-defined (Python) functions.

TensorWatch

Debugging and visualization tool for machine learning and data science. It extensively leverages Jupyter Notebook to show real-time visualizations of data in running processes such as machine learning training.

dowel

A little logger for machine learning research. Output any object to the terminal, CSV, TensorBoard, text logs on disk, and more with just one call to logger.log().

Flama

Ignite your models into blazing-fast machine learning APIs with a modern framework.

minidiff

A slightly larger, somewhat feature-complete, PyTorch-inspired, NumPy implementation of a tensor reverse-mode automatic differentiation engine.

MiniGrad

A minimal, educational, Pythonic implementation of autograd (~100 loc).

Map/Reduce implementations of common ML algorithms

Jupyter notebooks that cover how to implement from scratch different ML algorithms (ordinary least squares, gradient descent, k-means, alternating least squares), using Python NumPy, and how to then make these implementations scalable using Map/Reduce and Spark.

BioPy

Biologically-Inspired and Machine Learning Algorithms in Python. [Deprecated]

CAEs for Data Assimilation

Convolutional autoencoders for 3D image/field compression applied to reduced order Data Assimilation.

handsonml

Fundamentals of machine learning in python.

SVM Explorer

Interactive SVM Explorer, using Dash and scikit-learn

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks.

thinking stats 2

hyperopt

Hyper-parameter optimization for sklearn.

2012-paper-diginorm

A gallery of interesting IPython notebooks

List of all programming languages available as Jupyter kernels.

ipython-notebooks

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

decision-weights

Sarah Palin LDA

Topic Modelling the Sarah Palin emails.

Diffusion Segmentation

A collection of image segmentation algorithms based on diffusion methods.

Scipy Tutorials

SciPy tutorials. This is outdated, check out scipy-lecture-notes.

Crab

A recommendation engine library for Python.

BayesPy

Bayesian Inference Tools in Python.

scikit-learn tutorials

Series of notebooks for learning scikit-learn.

sentiment-analyzer

Tweets Sentiment Analyzer

sentiment_classifier

Sentiment classifier using word sense disambiguation.

group-lasso

Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model.

jProcessing

Kanji / Hiragana / Katakana to Romaji Converter. Edict Dictionary & parallel sentences Search. Sentence Similarity between two JP Sentences. Sentiment Analysis of Japanese Text. Run Cabocha(ISO--8859-1 configured) in Python.

mne-python-notebooks

IPython notebooks for EEG/MEG data processing using mne-python.

Neon Course

IPython notebooks for a complete course around understanding Nervana's Neon.

pandas cookbook

Recipes for using Python's pandas library.

climin

Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.

Allen Downey’s Data Science Course

Code for Data Science at Olin College, Spring 2014.

Allen Downey’s Think Complexity Code

Code for Allen Downey's book Think Complexity.

Allen Downey’s Think OS Code

Text and supporting code for Think OS: A Brief Introduction to Operating Systems.

Python Programming for the Humanities

Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.

GreatCircle

Library for calculating great circle distance.

Optunity examples

Examples demonstrating how to use Optunity in synergy with machine learning libraries.

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

"I learned Python by hacking first, and getting serious later. I wanted to do this with Machine Learning. If this is your style, join me in getting a bit ahead of yourself."

TDB

TensorDebugger (TDB) is a visual debugger for deep learning. It features interactive, node-by-node debugging and visualization for TensorFlow.

Suiron

Machine Learning for RC Cars.

Introduction to machine learning with scikit-learn

IPython notebooks from Data School's video tutorials on scikit-learn.

Practical XGBoost in Python

comprehensive online course about using XGBoost in Python.

Introduction to Machine Learning with Python

Notebooks and code for the book "Introduction to Machine Learning with Python"

Pydata book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Homemade Machine Learning

Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Prodmodel

Build tool for data science pipelines.

the-elements-of-statistical-learning

This repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook.

Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.

Heart_Disease-Prediction

Given clinical parameters about a patient, can we predict whether or not they have heart disease?

Flight Fare Prediction

This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.

Keras Tuner

An easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search.

fenn

A simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.

Kinho

Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.

nn_builder

nn_builder is a python package that lets you build neural networks in 1 line

NeuralTalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

NeuralTalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences. [Deprecated]

Neuron

Neuron is simple class for time series predictions. It's utilize LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neural networks learned with Gradient descent or…

Data Driven Code

Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.

Machine Learning, Data Science and Deep Learning with Python

LiveVideo course that covers machine learning, Tensorflow, artificial intelligence, and neural networks.

TResNet: High Performance GPU-Dedicated Architecture

TResNet models were designed and optimized to give the best speed-accuracy tradeoff out there on GPUs.

Jina AI

An easier way to build neural search in the cloud. Compatible with Jupyter Notebooks.

sequitur

PyTorch library for creating and training sequence autoencoders in just two lines of code

ANEE

Adaptive Neural Execution Engine for transformers. Per-token sparse inference with dynamic layer skipping, profiler-based gating, and KV-cache-safe compute reduction.

zij

A canon of deep learning optimization algorithms.

HypercubeESN

Echo State Network on a Boolean hypercube reservoir: XOR Hamming-1 connectivity, no stored adjacency, C++23 + Python (pip install hypercube-esn).

HypercubeWTF

Frozen hypercube reservoir for static fields (synthetic-time orbit + thin CNN readout). Sibling of HypercubeESN.

HypercubeCascade

Etalon transit then WTF orbit on one cube, then a thin HypercubeCNN readout.

HypercubeHopfield

Modern Hopfield associative memory on a hypercube graph with sparse local-attention retrieval (C++23 + Python).

Rockpool

A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.

Sinabs

A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.

Tonic

A library that makes downloading publicly available neuromorphic datasets a breeze and provides event-based data transformation/augmentation pipelines.

lifelines

lifelines is a complete survival analysis library, written in pure Python

Scikit-Survival

scikit-survival is a Python module for survival analysis built on top of scikit-learn. It allows doing survival analysis while utilizing the power of scikit-learn, e.g., for pre-processing or doing cross-validation.

Flower

A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.

Tensorflow-Federated

A federated learning framework for machine learning and other computations on decentralized data.

open-solution-home-credit

> source code and experiments results for Home Credit Default Risk.

open-solution-googleai-object-detection

> source code and experiments results for Google AI Open Images - Object Detection Track.

open-solution-salt-identification

> source code and experiments results for TGS Salt Identification Challenge.

open-solution-ship-detection

> source code and experiments results for Airbus Ship Detection Challenge.

open-solution-data-science-bowl-2018

> source code and experiments results for 2018 Data Science Bowl.

open-solution-value-prediction

> source code and experiments results for Santander Value Prediction Challenge.

open-solution-toxic-comments

> source code for Toxic Comment Classification Challenge.

wiki challenge

An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle.

kaggle insults

Kaggle Submission for "Detecting Insults in Social Commentary".

kaggle_acquire-valued-shoppers-challenge

Code for the Kaggle acquire valued shoppers challenge.

kaggle-cifar

Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet.

kaggle-blackbox

Deep learning made easy.

kaggle-accelerometer

Code for Accelerometer Biometric Competition at Kaggle.

kaggle-advertised-salaries

Predicting job salaries from ads - a Kaggle competition.

kaggle amazon

Amazon access control challenge.

kaggle-bestbuy_big

Code for the Best Buy competition at Kaggle.

kaggle-bestbuy_small

Kaggle Dogs vs. Cats

Code for Kaggle Dogs vs. Cats competition.

Kaggle Galaxy Challenge

Winning solution for the Galaxy Challenge on Kaggle.

Kaggle Gender

A Kaggle competition: discriminate gender based on handwriting.

Kaggle Merck

Merck challenge at Kaggle.

Kaggle Stackoverflow

Predicting closed questions on Stack Overflow.

wine-quality

Predicting wine quality.

DeepMind Lab

DeepMind Lab is a 3D learning environment based on id Software's Quake III Arena via ioquake3 and other open source software. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning.

Gymnasium

A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).

Serpent.AI

Serpent.AI is a game agent framework that allows you to turn any video game you own into a sandbox to develop AI and machine learning experiments. For both researchers and hobbyists.

ViZDoom

ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular.

Roboschool

Open-source software for robot simulation, integrated with OpenAI Gym.

Retro

Retro Games in Gym

SLM Lab

Modular Deep Reinforcement Learning framework in PyTorch.

Coach

Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

garage

A toolkit for reproducible reinforcement learning research

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

acme

An Open Source Distributed Framework for Reinforcement Learning that makes build and train your agents easily.

Spinning Up

An educational resource designed to let anyone learn to become a skilled practitioner in deep reinforcement learning

Maze

Application-oriented deep reinforcement learning framework addressing real-world decision problems.

RLlib

RLlib is an industry level, highly scalable RL library for tf and torch, based on Ray. It's used by companies like Amazon and Microsoft to solve real-world decision making problems at scale.

DI-engine

DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, and RND in exploration problems.

Gym4ReaL

Gym4ReaL is a comprehensive suite of realistic environments designed to support the development and evaluation of RL algorithms that can operate in real-world scenarios. The suite includes a diverse set of tasks exposing RL algorithms to a variety of practical challenges.

EspNet

ESPnet is an end-to-end speech processing toolkit for tasks like speech recognition, translation, and enhancement, using PyTorch and Kaldi-style data processing.

VoxRT

On-device streaming speech recognition runtime with C API for Linux (aarch64/x86_64). Based on NVIDIA NeMo FastConformer (80 ms cache-aware lookahead). Companion Silero VAD, wake-word, and 14-command KWS via same runtime.

CodeFlash.AI

CodeFlash.AI – Ship Blazing-Fast Python Code, Every Time.

Awesome NLP with Ruby

Curated link list for practical natural language processing in Ruby.

Treat

Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.

Stemmer

Expose libstemmer_c to Ruby. [Deprecated]

Raspell

raspell is an interface binding for ruby. [Deprecated]

UEA Stemmer

Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing.

Twitter Text Java

A Java implementation of Twitter's text processing library.

Awesome Machine Learning with Ruby

Curated list of ML related resources for Ruby.

Ruby Machine Learning

Some Machine Learning algorithms, implemented in Ruby. [Deprecated]

Machine Learning Ruby

[Deprecated]

jRuby Mahout

JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby. [Deprecated]

CardMagic-Classifier

A general classifier module to allow Bayesian and other types of classifications.

rb-libsvm

Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.

Scoruby

Creates Random Forest classifiers from PMML files.

rumale

Rumale is a machine learning library in Ruby

rsruby

Ruby - R bridge.

data-visualization-ruby

Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby. [Deprecated]

ruby-plot

gnuplot wrapper for Ruby, especially for plotting ROC curves into SVG files. [Deprecated]

plot-rb

A plotting library in Ruby built on top of Vega and D3. [Deprecated]

scruffy

A beautiful graphing toolkit for Ruby.

SciRuby

Linear Algebra, Visualization and Scientific Computing for Ruby.

Glean

A data management tool for humans. [Deprecated]

Bioruby

Library for developing bioinformatics software.

Arel

[Deprecated]

Big Data For Chimps

Listof

Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash. Demo/Search for a list

smartcore

"The Most Advanced Machine Learning Library In Rust."

linfa

a comprehensive toolkit to build Machine Learning applications with Rust

deeplearn-rs

deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.

rustlearn

a machine learning framework featuring logistic regression, support vector machines, decision trees and random forests.

rusty-machine

a pure-rust machine learning library.

leaf

open source framework for machine intelligence, sharing concepts from TensorFlow and Caffe. Available under the MIT license. [Deprecated]

RustNN

RustNN is a feedforward neural network library. [Deprecated]

RusticSOM

A Rust library for Self Organising Maps (SOM).

candle

Candle is a minimalist ML framework for Rust with a focus on performance (including GPU support) and ease of use.

delta

An open source machine learning framework in Rust Δ

tch-rs

Rust bindings for the C++ API of PyTorch

dfdx

Deep learning in Rust, with shape checked tensors and neural networks

burn

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals

huggingface/tokenizers

Fast State-of-the-Art Tokenizers optimized for Research and Production

rust-bert

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

shimmy

Python-free Rust inference server for NLP models with OpenAI API compatibility and hot model swapping.

shimmytok

Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.

ahaz

ahaz: Regularization for semiparametric additive hazards regression. [Deprecated]

arules

arules: Mining Association Rules and Frequent Itemsets

biglasso

biglasso: Extending Lasso Model Fitting to Big Data in R.

bmrm

bmrm: Bundle Methods for Regularized Risk Minimization Package.

Boruta

Boruta: A wrapper algorithm for all-relevant feature selection.

bst

bst: Gradient Boosting.

C50

C50: C5.0 Decision Trees and Rule-Based Models.

caret

Classification and Regression Training: Unified interface to ~150 ML algorithms in R.

caretEnsemble

caretEnsemble: Framework for fitting multiple caret models as well as creating ensembles of such models. [Deprecated]

CatBoost

General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.

Clever Algorithms For Machine Learning

about helping professional programmers confidently apply machine learning algorithms to address complex problems.

CORElearn

CORElearn: Classification, regression, feature evaluation and ordinal evaluation. -* CoxBoost - CoxBoost: Cox models by likelihood based boosting for a single survival endpoint or competing risks [Deprecated]

Cubist

Cubist: Rule- and Instance-Based Regression Modelling.

e1071

e1071: Misc Functions of the Department of Statistics (e1071), TU Wien

earth

earth: Multivariate Adaptive Regression Spline Models

elasticnet

elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA.

ElemStatLearn

ElemStatLearn: Data sets, functions and examples from the book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman.

evtree

evtree: Evolutionary Learning of Globally Optimal Trees.

forecast

forecast: Timeseries forecasting using ARIMA, ETS, STLM, TBATS, and neural network models.

forecastHybrid

forecastHybrid: Automatic ensemble and cross validation of ARIMA, ETS, STLM, TBATS, and neural network models from the "forecast" package.

fpc

fpc: Flexible procedures for clustering.

frbs

frbs: Fuzzy Rule-based Systems for Classification and Regression Tasks. [Deprecated]

GAMBoost

GAMBoost: Generalized linear and additive models by likelihood based boosting. [Deprecated]

gamboostLSS

gamboostLSS: Boosting Methods for GAMLSS.

gbm

gbm: Generalized Boosted Regression Models.

glmnet

glmnet: Lasso and elastic-net regularized generalized linear models.

glmpath

glmpath: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model.

GMMBoost

GMMBoost: Likelihood-based Boosting for Generalized mixed models. [Deprecated]

grplasso

grplasso: Fitting user specified models with Group Lasso penalty.

grpreg

grpreg: Regularization paths for regression models with grouped covariates.

h2o

A framework for fast, parallel, and distributed machine learning algorithms at scale -- Deeplearning, Random forests, GBM, KMeans, PCA, GLM.

hda

hda: Heteroscedastic Discriminant Analysis. [Deprecated]

Introduction to Statistical Learning

ipred

ipred: Improved Predictors.

kernlab

kernlab: Kernel-based Machine Learning Lab.

klaR

klaR: Classification and visualization.

L0Learn

L0Learn: Fast algorithms for best subset selection.

lars

lars: Least Angle Regression, Lasso and Forward Stagewise. [Deprecated]

lasso2

lasso2: L1 constrained estimation aka ‘lasso’.

LiblineaR

LiblineaR: Linear Predictive Models Based On The Liblinear C/C++ Library.

LogicReg

LogicReg: Logic Regression.

Machine Learning For Hackers

maptree

maptree: Mapping, pruning, and graphing tree models. [Deprecated]

mboost

mboost: Model-Based Boosting.

medley

medley: Blending regression models, using a greedy stepwise approach.

mlr

mlr: Machine Learning in R.

ncvreg

ncvreg: Regularization paths for SCAD- and MCP-penalized regression models.

nnet

nnet: Feed-forward Neural Networks and Multinomial Log-Linear Models. [Deprecated]

pamr

pamr: Pam: prediction analysis for microarrays. [Deprecated]

party

party: A Laboratory for Recursive Partitioning

partykit

partykit: A Toolkit for Recursive Partitioning.

penalized

penalized: L1 (lasso and fused lasso) and L2 (ridge) penalized estimation in GLMs and in the Cox model.

penalizedLDA

penalizedLDA: Penalized classification using Fisher's linear discriminant. [Deprecated]

penalizedSVM

penalizedSVM: Feature Selection SVM using penalty functions.

quantregForest

quantregForest: Quantile Regression Forests.

randomForest

randomForest: Breiman and Cutler's random forests for classification and regression.

randomForestSRC

randomForestSRC: Random Forests for Survival, Regression and Classification (RF-SRC).

rattle

rattle: Graphical user interface for data mining in R.

rda

rda: Shrunken Centroids Regularized Discriminant Analysis.

rdetools

rdetools: Relevant Dimension Estimation (RDE) in Feature Spaces. [Deprecated]

REEMtree

REEMtree: Regression Trees with Random Effects for Longitudinal (Panel) Data. [Deprecated]

relaxo

relaxo: Relaxed Lasso. [Deprecated]

rgenoud

rgenoud: R version of GENetic Optimization Using Derivatives

Rmalschains

Rmalschains: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in R.

rminer

rminer: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression. [Deprecated]

ROCR

ROCR: Visualizing the performance of scoring classifiers. [Deprecated]

RoughSets

RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories. [Deprecated]

rpart

rpart: Recursive Partitioning and Regression Trees.

RPMM

RPMM: Recursively Partitioned Mixture Model.

RSNNS

RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS).

RWeka

RWeka: R/Weka interface.

RXshrink

RXshrink: Maximum Likelihood Shrinkage via Generalized Ridge or Least Angle Regression.

sda

sda: Shrinkage Discriminant Analysis and CAT Score Variable Selection. [Deprecated]

spectralGraphTopology

spectralGraphTopology: Learning Graphs from Data via Spectral Constraints.

SuperLearner

Multi-algorithm ensemble learning packages.

svmpath

svmpath: svmpath: the SVM Path algorithm. [Deprecated]

tgp

tgp: Bayesian treed Gaussian process models. [Deprecated]

tree

tree: Classification and regression trees.

varSelRF

varSelRF: Variable selection using random forests.

XGBoost.R

R binding for eXtreme Gradient Boosting (Tree) Library.

Optunity

A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly with MATLAB.

igraph

binding to igraph library - General purpose graph library.

MXNet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.

TDSP-Utilities

Two data science utilities in R from Microsoft: 1) Interactive Data Exploration, Analysis, and Reporting (IDEAR) ; 2) Automated Modelling and Reporting (AMR).

clugenr

Multidimensional cluster generation in R.

data.table

data.table provides a high-performance version of base R’s data.frame with syntax and feature enhancements for ease of use, convenience and programming speed.

dplyr

A data manipulation package that helps to solve the most common data manipulation problems.

ggplot2

A data visualization package based on the grammar of graphics.

tmap

for visualizing geospatial data with static maps and leaflet for interactive maps

tm

and quanteda are the main packages for managing, analyzing, and visualizing textual data.

shiny

is the basis for truly interactive displays and dashboards in R. However, some measure of interactivity can be achieved with htmlwidgets bringing javascript libraries to R. These include, plotly, dygraphs, highcharter, and several others.

Visual Data Mining and Machine Learning

Interactive, automated, and programmatic modelling with the latest machine learning algorithms in and end-to-end analytics environment, from data prep to deployment. Free trial available.

Enterprise Miner

Data mining and machine learning that creates deployable models using a GUI or code.

Factory Miner

Automatically creates deployable machine learning models across numerous market or customer segments using a GUI.

SAS/STAT

For conducting advanced statistical analysis.

University Edition

FREE! Includes all SAS packages necessary for data analysis and visualization, and includes online SAS courses.

Contextual Analysis

Add structure to unstructured text using a GUI.

Sentiment Analysis

Extract sentiment from text using a GUI.

Text Miner

Text mining using a GUI or code.

ML_Tables

Concise cheat sheets containing machine learning best practices.

enlighten-integration

Example code and materials that illustrate techniques for integrating SAS with other analytics technologies in Java, PMML, Python and R.

enlighten-deep

Example code and materials that illustrate using neural networks with several hidden layers in SAS.

dm-flow

Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.

ScalaNLP

ScalaNLP is a suite of machine learning and numerical computing libraries.

Breeze

Breeze is a numerical processing library for Scala.

Chalk

Chalk is a natural language processing library. [Deprecated]

FACTORIE

FACTORIE is a toolkit for deployable probabilistic modelling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.

Montague

Montague is a semantic parsing library for Scala with an easy-to-use DSL.

Spark NLP

Natural language processing library built on top of Apache Spark ML to provide simple, performant, and accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.

NDScala

N-dimensional arrays in Scala 3. Think NumPy ndarray, but with compile-time type-checking/inference over shapes, tensor/axis labels & numeric data types

MLlib in Apache Spark

Distributed machine learning library in Spark.

Hydrosphere Mist

a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.

Scalding

A Scala API for Cascading.

Summing Bird

Streaming MapReduce with Scalding and Storm.

Algebird

Abstract Algebra for Scala.

xerial

Data management utilities for Scala. [Deprecated]

PredictionIO

PredictionIO, a machine learning server for software developers and data engineers.

BIDMat

CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.

Flink

Open source platform for distributed stream and batch data processing.

Spark Notebook

Interactive and Reactive Data Science using Scala and Spark.

Microsoft ML for Apache Spark

> A distributed machine learning framework Apache Spark

ONNX-Scala

An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).

DeepLearning.scala

Creating statically typed dynamic neural networks from object-oriented & functional programming constructs.

Conjecture

Scalable Machine Learning in Scalding.

brushfire

Distributed decision tree ensemble learning in Scala.

ganitha

Scalding powered machine learning. [Deprecated]

adam

A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.

bioscala

Bioinformatics for the Scala programming language

BIDMach

CPU and GPU-accelerated Machine Learning Library.

Figaro

a Scala library for constructing probabilistic models.

H2O Sparkling Water

H2O and Spark interoperability.

FlinkML in Apache Flink

Distributed machine learning library in Flink.

DynaML

Scala Library/REPL for Machine Learning Research.

Saul

Flexible Declarative Learning-Based Programming.

SwiftLearner

Simply written algorithms to help study ML or write your own implementations.

Smile

Statistical Machine Intelligence & Learning Engine.

doddle-model

An in-memory machine learning library built on top of Breeze. It provides immutable objects and exposes its functionality through a scikit-learn-like API.

TensorFlow Scala

Strongly-typed Scala API for TensorFlow.

isolation-forest

A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

layer

Neural network inference from the command line, implemented in CHICKEN Scheme.

Bender

Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.

Swift AI

Highly optimized artificial intelligence and machine learning library written in Swift.

Swift for Tensorflow

a next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems design, and beyond.

BrainCore

The iOS and OS X neural network framework.

swix

A bare bones library that includes a general matrix language and wraps some OpenCV for iOS development. [Deprecated]

AIToolbox

A toolbox framework of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.

MLKit

A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.

Swift Brain

The first neural network / machine learning library written in Swift. This is a project for AI algorithms in Swift for iOS and OS X development. This project includes algorithms focused on Bayes theorem, neural networks, SVMs, Matrices, etc...

Perfect TensorFlow

Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.

PredictionBuilder

A library for machine learning that builds predictions using a linear regression.

Awesome CoreML

A curated list of pretrained CoreML models.

Awesome Core ML Models

A curated list of machine learning models in CoreML format.

VoxRT

On-device streaming speech recognition SDK for iOS with Swift bindings (SPM). Based on NVIDIA NeMo FastConformer (80 ms cache-aware lookahead). Companion Silero VAD, wake-word, and 14-command KWS via same runtime.

Awesome Keras

A curated list of awesome Keras projects, libraries and resources.

Awesome TensorFlow

A list of all things related to TensorFlow.

Golden TensorFlow

A page of content on TensorFlow, including academic papers and links to related topics.

NN Visual

Interactive visualizations explaining neural networks, backpropagation, attention mechanisms, and transformers.

QuiddityML

The Duolingo of machine learning: short lessons, 11 types of hands-on exercises on the skills the job needs, spaced repetition so you don't forget what you learned, and a clear beginner-to-advanced roadmap covering Python, PyTorch, math for ML, ML foundations, NLP, vision, and more.

layer

Neural network inference from the command line, implemented in CHICKEN Scheme.

BESSER Neural Network Editor

Browser-based visual editor for designing neural networks and automatically generating PyTorch and TensorFlow code.

Wallaroo.AI

Production AI plaftorm for deploying, managing, and observing any model at scale across any environment from cloud to edge. Let's go from python notebook to inferencing in minutes.

Infinity

The AI-native database built for LLM applications, providing incredibly fast vector and full-text search. Developed using C++20

Synthical

AI-powered collaborative research environment. You can use it to get recommendations of articles based on reading history, simplify papers, find out what articles are trending, search articles by meaning (not just keywords), create and share folders of articles, see lists of articles from specific…

Humanloop

Humanloop is a platform for prompt experimentation, finetuning models for better performance, cost optimization, and collecting model generated data and user feedback.

Qdrant

Qdrant is open source vector similarity search engine with extended filtering support, written in Rust.

Localforge

Is an open source on-prem AI coding autonomous assistant that lives inside your repo, edits and tests files at SSD speed. Think Claude Code but with UI. plug in any LLM (OpenAI, Gemini, Ollama, etc.) and let it work for you.

milvus

Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.

Weaviate

Weaviate is an open source vector search engine and vector database. Weaviate uses machine learning to vectorize and store data, and to find answers to natural language queries. With Weaviate you can also bring your custom ML models to production scale.

txtai

Build semantic search applications and workflows.

MLReef

MLReef is an end-to-end development platform using the power of git to give structure and deep collaboration possibilities to the ML development process.

Chroma

Open-source search and retrieval database for AI applications. Vector, full-text, regex, and metadata search. Self-host or Cloud available.

Pinecone

Vector database for applications that require real-time, scalable vector embedding and similarity search.

CatalyzeX

Browser extension (Chrome and Firefox) that automatically finds and shows code implementations for machine learning papers anywhere: Google, Twitter, Arxiv, Scholar, etc.

ML Workspace

All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).

Notebooks

A starter kit for Jupyter notebooks and machine learning. Companion docker images consist of all combinations of python versions, machine learning frameworks (Keras, PyTorch and Tensorflow) and CPU/CUDA versions.

Deepnote

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps.

DVC

Data Science Version Control is an open-source version control system for machine learning projects with pipelines support. It makes ML projects reproducible and shareable.

DVClive

Python library for experiment metrics logging into simply formatted local files.

VDP

open source visual data ETL to streamline the end-to-end visual data processing pipeline: extract unstructured visual data from pre-built data sources, transform it into analysable structured insights by Vision AI models imported from various ML platforms, and load the insights into warehouses or…

Kedro

Kedro is a data and development workflow framework that implements best practices for data pipelines with an eye towards productionizing machine learning models.

Hamilton

a lightweight library to define data transformations as a directed-acyclic graph (DAG). It helps author reliable feature engineering and machine learning pipelines, and more.

guild.ai

Tool to log, analyze, compare and "optimize" experiments. It's cross-platform and framework independent, and provided integrated visualizers such as tensorboard.

Sacred

Python tool to help you configure, organize, log and reproduce experiments. Like a notebook lab in the context of Chemistry/Biology. The community has built multiple add-ons leveraging the proposed standard.

Comet

ML platform for tracking experiments, hyper-parameters, artifacts and more. It's deeply integrated with over 15+ deep learning frameworks and orchestration tools. Users can also use the platform to monitor their models in production.

MLFlow

platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. Framework and language agnostic, take a look at all the built-in integrations.

Weights & Biases

Machine learning experiment tracking, dataset versioning, hyperparameter search, visualization, and collaboration

Arize AI

Model validation and performance monitoring, drift detection, explainability, visualization across structured and unstructured data

MachineLearningWithTensorFlow2ed

a book on general purpose machine learning techniques regression, classification, unsupervised clustering, reinforcement learning, auto encoders, convolutional neural networks, RNNs, LSTMs, using TensorFlow 1.14.1.

m2cgen

A tool that allows the conversion of ML models into native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart) with zero dependencies.

CML

A library for doing continuous integration with ML projects. Use GitHub Actions & GitLab CI to train and evaluate models in production like environments and automatically generate visual reports with metrics and graphs in pull/merge requests. Framework & language agnostic.

Pythonizr

An online tool to generate boilerplate machine learning code that uses scikit-learn.

Flyte

Flyte makes it easy to create concurrent, scalable, and maintainable workflows for machine learning and data processing.

GPU Per Hour

Real-time GPU cloud price comparison across 30+ providers.