Tutorial materials of the Probabilistic Numerics Spring School.
☆37May 10, 2023Updated 3 years ago
Alternatives and similar repositories for probnum-spring-school
Users that are interested in probnum-spring-school 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)☆44Apr 12, 2023Updated 3 years ago
- Computation-Aware Kalman Filtering and RTS Smoothing☆19Mar 6, 2025Updated last year
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated 2 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
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆37Apr 26, 2024Updated 2 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.
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆133Oct 27, 2026Updated last week
- 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 Numerics in Python.☆463Jul 3, 2025Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆234Mar 29, 2024Updated 2 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆21Feb 25, 2023Updated 3 years ago
- Examples of Verbalized Machine Learning (VML)☆16Mar 16, 2025Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 5 years ago
- Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…☆10Dec 14, 2022Updated 3 years ago
- Next generation MCMC samplers with automatic differentiaion and adaptive Poisson thinning☆14Sep 21, 2026Updated last month
- 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.
- Repository for the course Probabilistic Machine Learning at Tübingen University☆27May 17, 2020Updated 6 years ago
- A Julia package for the computation of hard, theoretically guaranteed bounds on the moments of jump-diffusion processes with polynomial d…☆15May 19, 2025Updated last year
- Methods and experiments for assumed density SDE approximations☆12Jan 26, 2022Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆76Nov 13, 2020Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆16Mar 17, 2020Updated 6 years ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆18Jul 19, 2023Updated 3 years ago
- ☆10Jun 13, 2022Updated 4 years ago
- GPFlow based implementation of temporal parallellization of state space GPs☆16Sep 8, 2022Updated 4 years ago
- ☆18Oct 17, 2026Updated 2 weeks 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.
- Composable kernels for scikit-learn implemented in JAX.☆47Oct 26, 2020Updated 6 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆182Sep 17, 2022Updated 4 years ago
- Website for the book "The Elements of Differentiable Programming".☆15Oct 24, 2026Updated last week
- stanli, the Stan Language Interpreter: op-graph executor over precompiled stan-math kernels. Compile and sample Stan models with no C++ t…☆19Updated this week
- A curated list of resources for learning Gaussian Processes☆41Jul 18, 2021Updated 5 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Dec 30, 2022Updated 3 years ago
- Real time estimation of epidemic Effective Reproduction Number for Luxembourg☆12Oct 24, 2022Updated 4 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆245Dec 22, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official Implementation for Variational Information Pursuit for Interpretable Predictions (ICLR 2023)☆14Jun 18, 2024Updated 2 years ago
- ☆12Apr 11, 2022Updated 4 years ago
- General-purpose differentiable meshfree solver built on JAX and the Material Point Method (MPM), supporting GPU-accelerated forward and i…☆19Updated this week
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Apr 22, 2026Updated 6 months ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆15May 8, 2023Updated 3 years ago
- PREF-SHAP☆10May 26, 2022Updated 4 years ago
- Enhanced sampling algorithms for the active learning of machine learning interatomic potentials (ML-IPs), implemented in Julia.☆10Jan 31, 2025Updated last year