Probabilistic Numerics in Python.
☆460Jul 3, 2025Updated 10 months ago
Alternatives and similar repositories for probnum
Users that are interested in probnum are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Apr 12, 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…☆20Jul 20, 2024Updated last year
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆133May 13, 2026Updated last week
- Gaussian processes in JAX and Equinox.☆620May 11, 2026Updated last week
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆242Dec 22, 2023Updated 2 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,680Updated this week
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆34Apr 26, 2024Updated 2 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆12May 8, 2023Updated 3 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆36May 10, 2023Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 5 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,077Updated this week
- 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
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆230Mar 29, 2024Updated 2 years 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.
- Sketched linear operations for PyTorch☆101Oct 24, 2025Updated 6 months ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆331Mar 20, 2024Updated 2 years ago
- A Python package for probabilistic state space modeling with JAX☆964Jan 6, 2026Updated 4 months ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆612Nov 28, 2025Updated 5 months ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Tutorials and sampling algorithm comparisons☆86Updated this week
- ☆634May 13, 2026Updated last week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,040Dec 17, 2025Updated 5 months ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,008May 13, 2026Updated last week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- The tiniest of Gaussian Process libraries☆345May 9, 2026Updated last week
- Computation-Aware Kalman Filtering and RTS Smoothing☆19Mar 6, 2025Updated last year
- Gaussian process modelling in Python☆226Dec 15, 2024Updated last year
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆826Updated this week
- Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …☆739Mar 24, 2026Updated last month
- Matrix-free linear algebra in JAX.☆166Apr 1, 2026Updated last month
- ☆12Oct 8, 2020Updated 5 years ago
- Laplace approximations in JAX.☆45Mar 25, 2026Updated last month
- A package for computing matrix exponentials and finite horizon Gramians☆11Jan 21, 2026Updated 4 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆134May 7, 2026Updated 2 weeks ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Oct 23, 2023Updated 2 years ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated last year
- This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…☆37Jul 21, 2025Updated 10 months ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Aug 27, 2020Updated 5 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,879May 1, 2026Updated 3 weeks ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆57May 13, 2026Updated last week