Alternatives and similar repositories for probdiffeq

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

• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆140Updated 3 weeks ago
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆21Updated last year
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆42Updated 2 years ago
• pnkraemer / probfindiff
  Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…
  ☆11Updated 2 years ago
• ylefay / bayesianSDEsolver
  Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
  ☆10Updated 7 months ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 6 months ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 4 months ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆73Updated this week
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆129Updated 3 weeks ago
• pnkraemer / diffeqzoo
  A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiolo…
  ☆16Updated last year
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆97Updated 4 months ago
• ASEM000 / kernex
  Stencil computations in JAX
  ☆71Updated last year
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆129Updated last year
• danielward27 / paramax
  A small library of paramaterizations and parameter constraints for PyTrees.
  ☆40Updated 4 months ago
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆30Updated last year
• danielward27 / flowjax
  ☆186Updated last month
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated last year
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆35Updated 2 years ago
• ASEM000 / pytreeclass
  Visualize, create, and operate on pytrees in the most intuitive way possible.
  ☆45Updated 8 months ago
• dodgebc / jaxkd
  Minimal JAX implementation of k-nearest neighbors using a k-d tree.
  ☆50Updated 2 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆112Updated 6 months ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• diffprog / diffprog.github.io
  Website for the book "The Elements of Differentiable Programming".
  ☆14Updated 2 months ago
• aidanscannell / GPJax
  Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
  ☆12Updated last year
• jeremiecoullon / jax-tqdm
  Add a tqdm progress bar to your JAX scans and loops.
  ☆117Updated 4 months ago
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆236Updated last year
• f0uriest / quadax
  Numerical quadrature with JAX
  ☆69Updated this week
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆34Updated 2 years ago