Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
☆232Mar 29, 2024Updated 2 years ago
Alternatives and similar repositories for NumericsOfML
Users that are interested in NumericsOfML 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 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
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆215Sep 18, 2023Updated 2 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Apr 12, 2023Updated 3 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
- 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
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 3 years ago
- Probabilistic Numerics in Python.☆461Jul 3, 2025Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆37May 10, 2023Updated 3 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆35Apr 26, 2024Updated 2 years ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated 2 years ago
- A package for computing matrix exponentials and finite horizon Gramians☆11Jan 21, 2026Updated 6 months ago
- ☆34Updated this week
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆21Feb 25, 2023Updated 3 years ago
- Bayesian inference on spatial and spatiotemporal data, faster than you can say "Cholesky!"☆19Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 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
- Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.☆18Oct 22, 2025Updated 9 months ago
- Laplace approximations in JAX.☆50Jun 16, 2026Updated last month
- 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
- ☆19Jun 23, 2023Updated 3 years ago
- Sketched linear operations for PyTorch☆101Oct 24, 2025Updated 9 months ago
- Physics-Enhanced Regression for Initial Value Problems☆21Feb 7, 2024Updated 2 years ago
- ☆16Apr 26, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Apps (mostly streamlit) for the "Probabilistic Machine Learning" Lecture course at the University of Tübingen☆31Apr 19, 2024Updated 2 years ago
- Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …☆750Mar 24, 2026Updated 4 months ago
- A light-weight library to help you create better plots for scientific publications, by taking care of the annoying bits like figure size,…☆52Apr 30, 2026Updated 2 months ago
- ☆18Apr 2, 2023Updated 3 years ago
- Laplace approximations for Deep Learning.☆549Apr 22, 2025Updated last year
- Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt…☆122Mar 12, 2026Updated 4 months ago
- Faster Rational-like types for Julia☆23Jun 25, 2026Updated last month
- This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…☆37Jul 21, 2025Updated last year
- Stanford Online course STATSX0001 "Statistical Learning" follows closely the sequence of chapters in the course text "An Introduction to …☆12Mar 23, 2020Updated 6 years ago
- 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.
- Taylor-mode automatic differentiation for higher-order derivatives☆83Jun 22, 2026Updated last month
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆65Jul 9, 2026Updated 2 weeks ago
- Integrals of Gaussians under linear domain constraints☆15Feb 27, 2020Updated 6 years ago
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Jun 20, 2023Updated 3 years ago
- Materials related to the 2024-2025 mini course on Probabilistic Models and Bayesian Methods at the Faculty of Finance at Kharazmi Univers…☆26Jun 12, 2025Updated last year
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆23Apr 17, 2024Updated 2 years ago
- Regression tests without false positives☆26Jun 22, 2026Updated last month