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
  ☆1,838Updated 3 months ago
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆1,916Updated this week
• google-deepmind / chex
  ☆861Updated 2 weeks ago
• vopani / jaxton
  100 exercises to learn JAX
  ☆582Updated 3 years ago
• patrick-kidger / equinox
  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
  ☆2,394Updated this week
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆974Updated 2 months ago
• patrick-kidger / torchtyping
  Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
  ☆1,431Updated last month
• facebookresearch / optimizers
  For optimization algorithm research and development.
  ☆521Updated this week
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,433Updated last year
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,432Updated this week
• patrick-kidger / jaxtyping
  Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
  ☆1,441Updated last month
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆275Updated 3 years ago
• google-deepmind / distrax
  ☆578Updated last month
• google / CommonLoopUtils
  CLU lets you write beautiful training loops in JAX.
  ☆345Updated this week
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆3,047Updated this week
• google-deepmind / dm_pix
  PIX is an image processing library in JAX, for JAX.
  ☆417Updated 3 months ago
• rll / deepul
  ☆806Updated 2 months ago
• pytorch / tensordict
  TensorDict is a pytorch dedicated tensor container.
  ☆930Updated this week
• deepgenerativemodels / notes
  Course notes
  ☆693Updated last year
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,675Updated this week
• google / learned_optimization
  ☆778Updated 2 weeks ago
• RobertTLange / evosax
  Evolution Strategies in JAX 🦎
  ☆636Updated last week
• google / grain
  Library for reading and processing ML training data.
  ☆457Updated this week
• srush / Autodiff-Puzzles
  ☆435Updated 8 months ago
• mattjj / autodidact
  A pedagogical implementation of Autograd
  ☆984Updated 5 years ago
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆927Updated last month
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,191Updated 9 months ago
• srush / annotated-s4
  Implementation of https://srush.github.io/annotated-s4
  ☆498Updated 2 years ago
• archinetai / surgeon-pytorch
  A library to inspect and extract intermediate layers of PyTorch models.
  ☆473Updated 3 years ago
• metaopt / torchopt
  TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
  ☆596Updated 2 weeks ago