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AutoGluon

Appears in 5 awesome lists

AutoML to easily produce accurate predictions for image, text, tabular, time-series, and multi-modal data

Open github.comawslabs/autogluon

Found in these lists

AWESOME DATA SCIENCE

Section: Miscellaneous Tools · AutoML to easily produce accurate predictions for image, text, tabular, time-series, and multi-modal data

FreshScore 92

Awesome LLMOps

Section: AutoML · AutoML for Image, Text, and Tabular Data.

ActiveScore 75

Awesome Machine Learning

Section: Python · AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data.

FreshScore 93

Awesome MLOps

Section: AutoML · Automated machine learning for image, text, tabular, time-series, and multi-modal data.

FreshScore 80

Awesome Python Data Science

Section: Automated Machine Learning · AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data.

ActiveScore 71

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