🤗 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

Robust Speech Recognition via Large-Scale Weak Supervision

Models and examples built with TensorFlow

Rich is a Python library for rich text and beautiful formatting in the terminal.

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

Streamlit — A faster way to build and share data apps.

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

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

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

⚡ A Fast, Extensible Progress Bar for Python and CLI

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

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

Convert PDF to markdown + JSON quickly with high accuracy

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

Data Apps & Dashboards for Python. No JavaScript Required.

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

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

get things from one computer to another, safely

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Fast and memory-efficient exact attention

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Open standard for machine learning interoperability

The interactive graphing library for Python ✨