Alternatives and similar repositories for lineax:

Users that are interested in lineax are comparing it to the libraries listed below

• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆363Updated 2 weeks ago
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆196Updated last month
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX.
  ☆473Updated last month
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆239Updated 3 weeks ago
• mpi4jax / mpi4jax
  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python
  ☆457Updated 3 weeks ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆326Updated 2 weeks ago
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆944Updated 4 months ago
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆255Updated this week
• danielward27 / flowjax
  ☆129Updated 3 weeks ago
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆113Updated 2 weeks ago
• google / orbax
  Orbax provides common checkpointing and persistence utilities for JAX users
  ☆325Updated this week
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆871Updated 2 weeks ago
• google-deepmind / distrax
  ☆545Updated last month
• wilson-labs / cola
  Compositional Linear Algebra
  ☆456Updated this week
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆300Updated last week
• google / CommonLoopUtils
  CLU lets you write beautiful training loops in JAX.
  ☆329Updated this week
• google-deepmind / chex
  ☆806Updated this week
• f0uriest / interpax
  Interpolation and function approximation with JAX
  ☆145Updated this week
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆99Updated this week
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆194Updated last month
• jeremiecoullon / jax-tqdm
  Add a tqdm progress bar to your JAX scans and loops.
  ☆101Updated 2 months ago
• dfm / extending-jax
  Extending JAX with custom C++ and CUDA code
  ☆381Updated 5 months ago
• jax-ml / jax-ai-stack
  ☆106Updated this week
• google / grain
  Library for reading and processing ML training data.
  ☆355Updated this week
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆103Updated 5 months ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
  ☆555Updated 2 weeks ago
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,515Updated this week
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆214Updated last week
• xl0 / lovely-jax
  JAX Arrays for human consumption
  ☆90Updated last year
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆447Updated 8 months ago