Popular GitHub Repositories for Pure Jax

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

Deep Learning for humans

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

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

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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

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

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Trax — Deep Learning with Clear Code and Speed

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

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

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Stable Diffusion and Flux in pure C/C++

Scenic: A Jax Library for Computer Vision Research and Beyond

A library for scientific machine learning and physics-informed learning

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

Training and serving large-scale neural networks with auto parallelization.