Starred repositories
🤗 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
FastAPI framework, high performance, easy to learn, fast to code, ready for production
A high-throughput and memory-efficient inference and serving engine for LLMs
scikit-learn: machine learning in Python
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A collection of design patterns/idioms in Python
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Python packaging and dependency management made easy
DSPy: The framework for programming—not prompting—language models
The fundamental package for scientific computing with Python.
A generative world for general-purpose robotics & embodied AI learning.
Fully open reproduction of DeepSeek-R1
The official Python SDK for Model Context Protocol servers and clients
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Typer, build great CLIs. Easy to code. Based on Python type hints.
Train transformer language models with reinforcement learning.
Python composable command line interface toolkit