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.☆14Updated this week
- 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
- This repository contains notebooks with different probability density function estimators.☆14Jun 4, 2020Updated 5 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆36May 10, 2023Updated 2 years ago
- Formulas for mixed-effects models in Python☆64Feb 9, 2026Updated 2 months ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Gaussian Mixture Models in Jax☆25Jul 14, 2025Updated 9 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆61Jul 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
- Mastering Gaussian Processes with PyMC☆18Aug 18, 2025Updated 8 months ago
- Predictors for Blood-Brain Barrier Permeability with resampling strategies based on B3DB database.☆13Aug 12, 2025Updated 8 months ago
- ArviZ modular plotting☆18Updated this week
- ☆11Oct 15, 2025Updated 6 months ago
- Number names in R 2️⃣💬☆13Mar 15, 2024Updated 2 years ago
- Tutorials about computational chemistry☆13Sep 22, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Introduction to Quantum Mechanics for Chemists☆61Apr 6, 2026Updated 3 weeks 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
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Mar 10, 2014Updated 12 years ago
- An R package providing a GUI ('shiny' app) for the R package 'brms'.☆10Mar 23, 2026Updated last month
- A simple and reproducible way of using fonts in matplotlib☆90Apr 8, 2026Updated 3 weeks ago
- Official PyTorch implementation of NeurIPS 2022 paper "Invertible Monotone Operators for Normalizing Flows"☆15Nov 28, 2022Updated 3 years ago
- pcells for various magnetic passive devices (GPL v3)☆13Sep 21, 2013Updated 12 years ago
- Creating elastic structures using LAMMPS☆12Jan 30, 2023Updated 3 years 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.
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- Gaussian processes in JAX and Equinox.☆615Updated this week
- C++ Gaussian Process Library☆14Feb 6, 2016Updated 10 years ago
- ☆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
- 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.☆197Jun 25, 2024Updated last year
- 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.
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆28Apr 21, 2026Updated last week
- SAASBO: a package for high-dimensional bayesian optimization☆53Sep 16, 2021Updated 4 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
- A lightweight python tool for creating GIFs☆13May 26, 2025Updated 11 months ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years ago
- Triplestore wrapper package for Python.☆13Updated this week