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

Deep Learning for humans

Convert Machine Learning Code Between Frameworks

🤗 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

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

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

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

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 quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

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

A deep learning package for many-body potential energy representation and molecular dynamics

Automated Machine Learning on Kubernetes