Alternatives and similar repositories for diffrax

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

• patrick-kidger / equinox
  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
  ☆2,397Updated last week
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆974Updated 2 months ago
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆1,924Updated this week
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆431Updated last week
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,505Updated last year
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆927Updated last month
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆519Updated this week
• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,842Updated 4 months ago
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆457Updated 3 weeks ago
• google-deepmind / chex
  ☆861Updated 3 weeks ago
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆832Updated last month
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆606Updated this week
• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,442Updated 9 months ago
• google-deepmind / distrax
  ☆578Updated last month
• NeuroDiffGym / neurodiffeq
  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…
  ☆745Updated 4 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆281Updated 3 years ago
• jax-md / jax-md
  Differentiable, Hardware Accelerated, Molecular Dynamics
  ☆1,274Updated 7 months ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆438Updated last year
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆919Updated last month
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆342Updated 2 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/
  ☆1,449Updated last month
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,655Updated 5 months ago
• mpi4jax / mpi4jax
  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python
  ☆481Updated this week
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆452Updated last year
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆474Updated 4 years ago
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆501Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆477Updated last month
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆256Updated 8 months ago
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆204Updated 7 months ago
• tum-pbs / PhiFlow
  A differentiable PDE solving framework for machine learning
  ☆1,628Updated 2 months ago