A curated list of resources for learning Gaussian Processes
☆42Jul 18, 2021Updated 4 years ago
Alternatives and similar repositories for awesome-gaussian-processes
Users that are interested in awesome-gaussian-processes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Particle Gibbs sampler for Bayesian additive regression trees (BART) in Rust.☆14Feb 6, 2026Updated 2 months ago
- ☆12Nov 6, 2024Updated last year
- This repository contains notebooks with different probability density function estimators.☆14Jun 4, 2020Updated 5 years ago
- Formulas for mixed-effects models in Python☆64Feb 9, 2026Updated 2 months ago
- Gaussian Mixture Models in Jax☆25Jul 14, 2025Updated 8 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Introductory tutorial on TPS, committor analysis, and (MS)TIS with OpenPathSampling☆19Dec 15, 2025Updated 3 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆60Jul 1, 2021Updated 4 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"☆13Oct 25, 2021Updated 4 years ago
- A curated list of awesome Bayesian statistics blogs and resources☆23Nov 12, 2023Updated 2 years ago
- Mastering Gaussian Processes with PyMC☆18Aug 18, 2025Updated 7 months ago
- FoKL-GP implements Karhunen-Loève decomposed Gaussian processes with built-in forward variable selection. Decomposed GPs are key to embed…☆18Dec 6, 2025Updated 4 months ago
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248☆18Aug 10, 2023Updated 2 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Dec 15, 2022Updated 3 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.
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Mar 10, 2014Updated 12 years ago
- Official PyTorch implementation of NeurIPS 2022 paper "Invertible Monotone Operators for Normalizing Flows"☆15Nov 28, 2022Updated 3 years ago
- Creating elastic structures using LAMMPS☆12Jan 30, 2023Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- Gaussian processes in JAX and Flax.☆608Updated this week
- ☆16May 23, 2022Updated 3 years ago
- ☆14Aug 20, 2019Updated 6 years ago
- A modeling framework for optimization problems and a collection of algorithms for finding solutions☆13May 21, 2024Updated last year
- ME 697 - Advanced Scientific Machine Learning☆27Feb 3, 2026Updated 2 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Materials for a training workshop on 'Introduction to Julia for Computational Science'☆12Jul 9, 2025Updated 9 months ago
- Fast Bayesian Inference in Python. 50+ conjugate models with vectorized updates, sufficient statistic helpers, built-in plotting, and Sci…☆39Updated this week
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆196Jun 25, 2024Updated last year
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆26Mar 2, 2026Updated last month
- Benchmarks of Bayesian Nonparametric models in Turing and other PPLs☆28Jul 18, 2024Updated last year
- Differentiable Gaussian Process implementation for PyTorch☆22Jul 8, 2018Updated 7 years ago
- Variational Autoencoder with non-euclidean (hyperbolic) latent space☆12Nov 25, 2022Updated 3 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 2 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years 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.
- Powerful add-ons for PyMC☆138Updated this week
- Structural Time Series in JAX☆214May 8, 2024Updated last year
- casm powered utility to create gamma surfaces, UBER curves, and twisted bilayers along crystal planes.☆23Dec 5, 2020Updated 5 years ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆70Feb 25, 2025Updated last year
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆83Feb 5, 2026Updated 2 months ago
- Efficient matrix representations for working with tabular data☆132Apr 1, 2026Updated last week
- This repository contains the scripts for reproducing the results presented in Costa AC, Ahamed T, Jordan D, Stephens GJ (2023) "A Markov…☆11Sep 25, 2025Updated 6 months ago