An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
☆22Mar 31, 2021Updated 5 years ago
Alternatives and similar repositories for SparseGPAX
Users that are interested in SparseGPAX are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Aug 27, 2020Updated 5 years ago
- An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.☆43May 26, 2022Updated 4 years ago
- Documentation for the Stan language and CmdStan☆43Updated this week
- Code of PriorVAE: encoding spatial priors with variational autoencoders☆12Jul 13, 2023Updated 2 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Dec 20, 2023Updated 2 years ago
- 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.
- ☆22Nov 21, 2025Updated 6 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- ☆12Jul 6, 2022Updated 3 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Dec 15, 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.☆242Dec 22, 2023Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆11Oct 6, 2020Updated 5 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 2 years ago
- 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.
- This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…☆44Oct 25, 2019Updated 6 years ago
- Gaussian processes on graphs and lattices in Stan.☆19Mar 17, 2025Updated last year
- Kernels, the machine learning ones☆14Mar 6, 2023Updated 3 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆41Nov 19, 2022Updated 3 years ago
- ☆22Feb 24, 2026Updated 3 months ago
- Synthetic data library used in operator learning for PDE problems that overcomes dependence on classical solvers such as finite differenc…☆18Aug 8, 2024Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆129Oct 16, 2024Updated last year
- Combining ESA's CryoSat-2 and Sentinel-3 satellite altimeters to produce daily pan-Arctic radar freeboard estimates☆14Jul 11, 2024Updated last year
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Dec 9, 2020Updated 5 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.
- Automatic Reparameterisation of Probabilistic Programs☆36Jun 11, 2020Updated 5 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆16Jul 17, 2025Updated 10 months ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Gaussian processes in JAX and Equinox.☆624May 31, 2026Updated last week
- Geometric kernels on manifolds, meshes and graphs☆588Mar 10, 2026Updated 2 months ago
- Code repository for paper: A score-based filter for nonlinear data assimilation☆14Nov 5, 2024Updated last year
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Oct 12, 2020Updated 5 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Mar 8, 2023Updated 3 years ago
- introduction to dataflow analysis using julia☆14Oct 26, 2020Updated 5 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.
- Learning unknown ODE models with Gaussian processes☆27Jul 30, 2018Updated 7 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Jun 17, 2024Updated last year
- ☆13Feb 14, 2022Updated 4 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆37May 10, 2023Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- Cavs: An Efficient Runtime System for Dynamic Neural Networks☆15Sep 18, 2020Updated 5 years ago
- Finding Game of Life states that lead to pictures.☆18May 2, 2024Updated 2 years ago