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

Deep Learning for humans

The Unified AI Framework

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

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

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

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Trax — Deep Learning with Clear Code and Speed

A library for scientific machine learning and physics-informed learning

Distributed ML Training and Fine-Tuning on Kubernetes

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Flax is a neural network library for JAX that is designed for flexibility.

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Automated Machine Learning on Kubernetes