Alternatives and similar repositories for jaxfit

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

• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆128Updated 10 months ago
• f0uriest / interpax
  Interpolation and function approximation with JAX
  ☆200Updated last week
• mfschubert / sparsejac
  Efficient forward- and reverse-mode sparse Jacobians using Jax
  ☆60Updated 3 weeks ago
• danielward27 / paramax
  A small library of paramaterizations and parameter constraints for PyTrees.
  ☆35Updated 2 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆126Updated last month
• flatironinstitute / jax-finufft
  JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library
  ☆97Updated last week
• f0uriest / quadax
  Numerical quadrature with JAX
  ☆66Updated last week
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆49Updated 3 months ago
• ASEM000 / kernex
  Stencil computations in JAX
  ☆71Updated last year
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆205Updated 7 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆111Updated 4 months ago
• NIFTy-PPL / JAXbind
  Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation
  ☆74Updated 2 months ago
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆120Updated last week
• astro-informatics / s2fft
  S2FFT: Differentiable and accelerated spherical transforms
  ☆197Updated this week
• BallisticLA / parla
  Python Algorithms for Randomized Linear Algebra
  ☆54Updated 2 years ago
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆54Updated 2 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆437Updated last month
• f0uriest / orthax
  Orthogonal polynomials with JAX
  ☆22Updated last week
• jeremiecoullon / jax-tqdm
  Add a tqdm progress bar to your JAX scans and loops.
  ☆110Updated 2 months ago
• dodgebc / jaxkd
  Minimal JAX implementation of k-nearest neighbors using a k-d tree.
  ☆45Updated 3 weeks ago
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆30Updated last year
• v0lta / Jax-Wavelet-Toolbox
  Differentiable and gpu enabled fast wavelet transforms in JAX.
  ☆42Updated last year
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆125Updated last month
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆45Updated 8 months ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆95Updated 2 months ago
• EnzymeAD / Enzyme-JAX
  Custom Bindings for Enzyme Automatic Differentiation Tool and Interfacing with JAX.
  ☆88Updated this week
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆343Updated 2 months ago
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆42Updated 2 years ago
• cvxgrp / torch_linops
  A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.
  ☆14Updated 5 months ago