Alternatives and similar repositories for cola:

Users that are interested in cola 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/
  ☆383Updated 3 weeks ago
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆423Updated 2 weeks ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆250Updated last week
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆571Updated last week
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆198Updated 3 months ago
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆264Updated this week
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆346Updated last week
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆106Updated last week
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX.
  ☆486Updated 2 weeks ago
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆231Updated last month
• mpi4jax / mpi4jax
  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python
  ☆469Updated this week
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆955Updated last week
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆330Updated last month
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆887Updated last month
• google / autobound
  AutoBound automatically computes upper and lower bounds on functions.
  ☆359Updated 8 months ago
• srush / Autodiff-Puzzles
  ☆420Updated 5 months ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆144Updated 5 months ago
• modula-systems / modula
  🧱 Modula software package
  ☆172Updated last week
• google / CommonLoopUtils
  CLU lets you write beautiful training loops in JAX.
  ☆335Updated 2 weeks ago
• google-deepmind / synjax
  ☆245Updated 5 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆122Updated 10 months ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆185Updated 3 months ago
• fferflo / einx
  Universal Tensor Operations in Einstein-Inspired Notation for Python.
  ☆361Updated last month
• probml / dynamax
  State Space Models library in JAX
  ☆743Updated this week
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆186Updated 8 months ago
• metaopt / optree
  OpTree: Optimized PyTree Utilities
  ☆172Updated this week
• mlcommons / algorithmic-efficiency
  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…
  ☆370Updated this week
• google-deepmind / nanodo
  ☆214Updated 8 months ago
• patrick-kidger / jaxtyping
  Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
  ☆1,345Updated this week
• google / grain
  Library for reading and processing ML training data.
  ☆407Updated this week