patrick-kidger / equinox

Related projects ⓘ

Alternatives and complementary repositories for equinox

• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆1,687Updated this week
• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,538Updated 3 months ago
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,430Updated this week
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆929Updated last month
• google-deepmind / chex
  ☆784Updated last week
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆2,894Updated last week
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆828Updated last week
• patrick-kidger / jaxtyping
  Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
  ☆1,182Updated 2 weeks ago
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,395Updated this week
• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆6,101Updated this week
• google-deepmind / distrax
  ☆535Updated last month
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,185Updated this week
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,373Updated 7 months ago
• probml / dynamax
  State Space Models library in JAX
  ☆689Updated last week
• gordicaleksa / get-started-with-JAX
  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…
  ☆656Updated 11 months ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,395Updated 6 months ago
• patrick-kidger / torchtyping
  Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
  ☆1,400Updated 3 months ago
• mattjj / autodidact
  A pedagogical implementation of Autograd
  ☆954Updated 4 years ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆330Updated last week
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
  ☆521Updated this week
• google / ml_collections
  ML Collections is a library of Python Collections designed for ML use cases.
  ☆893Updated 3 months ago
• google-deepmind / rlax
  ☆1,258Updated last month
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆353Updated 2 weeks ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆429Updated last week
• mpi4jax / mpi4jax
  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python
  ☆438Updated this week
• google / orbax
  Orbax provides common checkpointing and persistence utilities for JAX users
  ☆296Updated this week
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX.
  ☆459Updated last week
• google / CommonLoopUtils
  CLU lets you write beautiful training loops in JAX.
  ☆321Updated 2 months ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,277Updated 8 months ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆321Updated 6 months ago