Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and custom information operators. Compatible with the broader JAX scientific computing ecosystem.
☆65Aug 14, 2026Updated this week
Alternatives and similar repositories for probdiffeq
Users that are interested in probdiffeq are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiolo…☆19Dec 28, 2023Updated 2 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆15May 8, 2023Updated 3 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆22Jul 20, 2024Updated 2 years ago
- Physics-Enhanced Regression for Initial Value Problems☆21Feb 7, 2024Updated 2 years ago
- ☆12Jul 6, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A small library of paramaterizations and parameter constraints for PyTrees.☆65Jan 23, 2026Updated 6 months ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 3 years ago
- Matrix-free linear algebra in JAX.☆179Jul 1, 2026Updated last month
- ☆10Jun 13, 2022Updated 4 years ago
- Data and forecast submission repository for the 2023 CDC West Nile virus Forecasting Challenge☆11Oct 30, 2023Updated 2 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,084Jun 21, 2026Updated last month
- Code for the talk "Approximate Bayesian inference for latent Gaussian models in Stan"☆13Aug 4, 2026Updated last week
- Tidy autoregressive inference in JAX☆15Sep 1, 2025Updated 11 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Automatic Functional Differentiation in JAX☆88Sep 18, 2025Updated 11 months ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆60Jul 12, 2026Updated last month
- ☆16Dec 20, 2024Updated last year
- Gaussian processes in JAX and Equinox.☆651Updated this week
- Solve ODEs fast, with support for PyMC☆121May 13, 2024Updated 2 years ago
- JAX Arrays for human consumption☆113Oct 23, 2025Updated 9 months ago
- A Python package of computer vision models for the Equinox ecosystem.☆113Jul 19, 2024Updated 2 years ago
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- A dead simple Python package for creating custom JAX pytree objects☆66Nov 14, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Exact OU processes with JAX☆68Jan 6, 2026Updated 7 months ago
- Structural Time Series in JAX☆219May 8, 2024Updated 2 years ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆614Aug 11, 2026Updated last week
- Schedule free optimiser implemented in JAX using Optimistix☆15May 29, 2024Updated 2 years ago
- Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers☆27Jan 4, 2024Updated 2 years ago
- Stencil computations in JAX☆73Nov 15, 2025Updated 9 months ago
- A Simple Statistical Distribution Library in JAX☆16Mar 30, 2024Updated 2 years ago
- Additional censored event tools for Distributions.jl☆15Updated this week
- A package for computing matrix exponentials and finite horizon Gramians☆11Jan 21, 2026Updated 6 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Laplace approximations in JAX.☆50Jun 16, 2026Updated 2 months ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Nov 7, 2022Updated 3 years ago
- State-space model inference with JAX☆71Aug 11, 2026Updated last week
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆23Apr 17, 2024Updated 2 years ago
- ☆15Jun 4, 2020Updated 6 years ago
- Probabilistic Numerics in Python.☆461Jul 3, 2025Updated last year
- A Python package for probabilistic state space modeling with JAX☆996Aug 1, 2026Updated 2 weeks ago