Alternatives and similar repositories for jax-windows-builder

Users that are interested in jax-windows-builder 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/
  ☆533Updated last month
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆507Updated this week
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆358Updated 9 months ago
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆1,022Updated last month
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆277Updated last year
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆372Updated last week
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆275Updated 3 years ago
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆214Updated 5 months ago
• mpi4jax / mpi4jax
  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python
  ☆512Updated last week
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,888Updated this week
• google / autobound
  AutoBound automatically computes upper and lower bounds on functions.
  ☆365Updated 3 months ago
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆207Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆506Updated 6 months ago
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆58Updated 6 months ago
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆310Updated this week
• danielward27 / flowjax
  ☆211Updated last week
• thomaspinder / GPJax
  Gaussian processes in JAX and Flax.
  ☆578Updated last week
• RobertTLange / evosax
  Evolution Strategies in JAX 🦎
  ☆719Updated 4 months ago
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆311Updated 3 months ago
• Dipolar-Quantum-Gases / jaxfit
  GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
  ☆59Updated 2 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆123Updated last month
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆259Updated 2 years ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆131Updated last week
• Autodesk / XLB
  XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML
  ☆434Updated last week
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆287Updated 4 years ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆455Updated 6 months ago
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆1,005Updated last month
• gngdb / pytorch-minimize
  Use scipy.optimize.minimize as a PyTorch Optimizer.
  ☆74Updated last year
• boschresearch / torchphysics
  OSS library that implements deep learning methods for partial differential equations and much more
  ☆459Updated 3 months ago
• bb515 / diffusionjax
  diffusionjax is a simple and accessible diffusion models package in JAX
  ☆48Updated last year