Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.com/nathanaelbosch/ProbNumDiffEq.jl for Julia code.
☆22Jul 20, 2024Updated 2 years ago
Alternatives and similar repositories for tornadox
Users that are interested in tornadox are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆15May 8, 2023Updated 3 years ago
- 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
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Physics-Enhanced Regression for Initial Value Problems☆21Feb 7, 2024Updated 2 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆65Aug 14, 2026Updated 2 weeks ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆15Apr 20, 2026Updated 4 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
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 3 years ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Oct 30, 2024Updated last year
- Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.☆18Oct 22, 2025Updated 10 months ago
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆133Updated this week
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- ☆10Jun 13, 2022Updated 4 years ago
- This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…☆37Jul 21, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 years ago
- Painless distributed training with torch☆12Apr 28, 2026Updated 4 months ago
- Matrix-free linear algebra in JAX.☆179Jul 1, 2026Updated last month
- Probabilistic Numerics in Python.☆460Jul 3, 2025Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆232Mar 29, 2024Updated 2 years ago
- GPFlow based implementation of temporal parallellization of state space GPs☆16Sep 8, 2022Updated 3 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆36Apr 26, 2024Updated 2 years ago
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆24Nov 4, 2024Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆243Dec 22, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Differential equation solvers with global error estimation☆11Aug 14, 2026Updated 2 weeks ago
- Coordinates in JAX☆37Updated this week
- Tutorials and sampling algorithm comparisons☆85Updated this week
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Jul 12, 2021Updated 5 years ago
- ☆12Jul 6, 2022Updated 4 years ago
- Fast Kolmogorov-Arnold Network in JAX, initial experiments☆16May 20, 2024Updated 2 years ago
- A functional training loops library for JAX☆87Feb 13, 2024Updated 2 years ago
- Julia package for kernel functions for machine learning☆274Updated this 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.
- Pluto inside a VS Code Webview, WIP☆102Dec 9, 2025Updated 8 months ago
- Laplace approximations in JAX.☆50Jun 16, 2026Updated 2 months ago
- Kernels, the machine learning ones☆14Mar 6, 2023Updated 3 years ago
- Fast and automatic structural identifiability software for ODE systems☆129Updated this week
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Aug 27, 2020Updated 6 years ago
- Preheat your MCMC☆82Updated this week
- An implementation of SchNet in JAX and JAX-MD.☆17Apr 5, 2022Updated 4 years ago