Alternatives and similar repositories for sympy2jax

Users that are interested in sympy2jax are comparing it to the libraries listed below

• NeilGirdhar / efax
  Exponential families for JAX
  ☆73Updated this week
• ASEM000 / kernex
  Stencil computations in JAX
  ☆71Updated last year
• NeilGirdhar / tjax
  Tools for JAX
  ☆49Updated this week
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆129Updated 10 months ago
• ASEM000 / pytreeclass
  Visualize, create, and operate on pytrees in the most intuitive way possible.
  ☆45Updated 6 months ago
• SymJAX / SymJAX
  Documentation:
  ☆121Updated 2 years ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆95Updated 3 months ago
• cgarciae / simple-pytree
  A dead simple Python package for creating custom JAX pytree objects
  ☆64Updated 8 months ago
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆199Updated 8 months ago
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆127Updated last month
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 5 months ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆31Updated 5 years ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆49Updated 4 months ago
• dodgebc / jaxkd
  Minimal JAX implementation of k-nearest neighbors using a k-d tree.
  ☆48Updated 3 weeks ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆133Updated this week
• aidanscannell / GPJax
  Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
  ☆12Updated last year
• danielward27 / paramax
  A small library of paramaterizations and parameter constraints for PyTrees.
  ☆35Updated 2 months ago
• PhilipVinc / numba4jax
  Use numba-compiled kernels from within Jax
  ☆31Updated 3 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• gehring / fax
  ☆80Updated 3 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆51Updated last year
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆148Updated 2 years ago
• AndreiB137 / EinFields
  Einstein Fields official implementation in JAX.
  ☆50Updated 2 weeks ago
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆97Updated last year
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆42Updated 2 years ago
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆56Updated last week
• rgiordan / paragami
  "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.
  ☆14Updated last year
• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆33Updated 2 years ago
• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 2 years ago