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SciPy

Appears in 7 awesome lists

Python - SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. GitHub

Open scipy.org

Found in these lists

Awesome Ai For Science

Section: Scientific Computing · Scientific computing

FreshScore 86

AWESOME DATA SCIENCE

Section: Miscellaneous Tools · SciPy works with NumPy arrays and provides efficient routines for numerical integration and optimization.

FreshScore 92

Awesome Machine Learning

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

FreshScore 93

Awesome Python Data Science

Section: General Purpose Machine Learning · Fundamental algorithms for scientific computing in Python

ActiveScore 71

Awesome Quant

Section: Numerical Libraries & Data Structures · Python - SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. GitHub

FreshScore 91

Awesome Research Tools

Section: Scientific Computing · scientific computing made easy

ActiveScore 70

Awesome Scientific Computing

Section: Multi-purpose toolkits · Python modules for statistics, optimization, integration, linear algebra, etc. (Python, mostly BSD, GitHub)

ActiveScore 77

TensorFlow

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

In 23 listsDetails

PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

In 16 listsDetails

Opik

Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…

In 16 listsDetails

transformers

(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…

In 14 listsDetails

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails

Apache Airflow

"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…

In 13 listsDetails

Ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io

In 13 listsDetails

Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…

In 13 listsDetails