Alternatives and similar repositories for get-started-with-JAX

Users that are interested in get-started-with-JAX are comparing it to the libraries listed below

• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,879Updated 5 months ago
• vopani / jaxton
  100 exercises to learn JAX
  ☆586Updated 3 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆275Updated 3 years ago
• rll / deepul
  ☆812Updated 3 months ago
• google / CommonLoopUtils
  CLU lets you write beautiful training loops in JAX.
  ☆350Updated last month
• google-deepmind / chex
  ☆869Updated last week
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆1,959Updated this week
• google / ml_collections
  ML Collections is a library of Python Collections designed for ML use cases.
  ☆968Updated 2 weeks ago
• google-deepmind / distrax
  ☆581Updated 3 weeks ago
• deepgenerativemodels / notes
  Course notes
  ☆704Updated last year
• google / grain
  Library for reading and processing ML training data.
  ☆484Updated last week
• patrick-kidger / equinox
  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
  ☆2,439Updated this week
• google / learned_optimization
  ☆781Updated last month
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆983Updated 3 months ago
• pytorch / tensordict
  TensorDict is a pytorch dedicated tensor container.
  ☆945Updated this week
• google-deepmind / dm_pix
  PIX is an image processing library in JAX, for JAX.
  ☆420Updated 4 months ago
• srush / Autodiff-Puzzles
  ☆443Updated 9 months ago
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,208Updated 10 months ago
• facebookresearch / optimizers
  For optimization algorithm research and development.
  ☆525Updated this week
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 2 years ago
• DarshanDeshpande / jax-models
  Unofficial JAX implementations of deep learning research papers
  ☆156Updated 3 years ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆170Updated last year
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,436Updated last year
• metaopt / torchopt
  TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
  ☆606Updated 3 weeks ago
• markriedl / transformer-walkthrough
  A walkthrough of transformer architecture code
  ☆351Updated last year
• ayaka14732 / tpu-starter
  Everything you want to know about Google Cloud TPU
  ☆536Updated last year
• google / orbax
  Orbax provides common checkpointing and persistence utilities for JAX users
  ☆410Updated this week
• kach / gradient-descent-the-ultimate-optimizer
  Code for our NeurIPS 2022 paper
  ☆369Updated 2 years ago
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,434Updated this week
• matthias-wright / flaxmodels
  Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
  ☆254Updated 4 months ago