Popular GitHub Repositories for Library Automation

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Make websites accessible for AI agents

Drag & drop UI to build your customized LLM flow

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

? Industrial-strength Natural Language Processing (NLP) in Python

Agno is a lightweight library for building Multimodal Agents. It exposes LLMs as a unified API and gives them superpowers like memory, knowledge, tools and reasoning.

The official Python library for the OpenAI API

The fastai deep learning library

Deezer source separation library including pretrained models.

Graph Neural Network Library for PyTorch

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

? Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

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

Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

Turns Data and AI algorithms into production-ready web applications in no time.

? Leon is your open-source personal assistant.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.