An opinionated list of awesome Python frameworks, libraries, software and resources.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Robust Speech Recognition via Large-Scale Weak Supervision

Models and examples built with TensorFlow

A curated list of awesome Machine Learning frameworks, libraries and software.

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

A high-throughput and memory-efficient inference and serving engine for LLMs

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Inference code for Llama models

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

High-Resolution Image Synthesis with Latent Diffusion Models

Making large AI models cheaper, faster and more accessible

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

PyTorch Tutorial for Deep Learning Researchers

Code and documentation to train Stanford's Alpaca models, and generate the data.

A modular graph-based Retrieval-Augmented Generation (RAG) system

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Fully open reproduction of DeepSeek-R1

Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.

TradingAgents: Multi-Agents LLM Financial Trading Framework

Code for the paper "Language Models are Unsupervised Multitask Learners"

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.