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:
- ☆11May 27, 2022Updated 4 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Aug 27, 2020Updated 6 years ago
- Quantifying and reporting uncertainty in drug discovery predictions with probabilistic models☆11Apr 29, 2022Updated 4 years ago
- ☆15Jan 10, 2021Updated 5 years ago
- An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.☆43May 26, 2022Updated 4 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.
- Code of PriorVAE: encoding spatial priors with variational autoencoders☆13Jul 13, 2023Updated 3 years ago
- Documentation for the Stan language and CmdStan☆43Sep 21, 2026Updated 2 weeks ago
- ☆22Nov 21, 2025Updated 10 months ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Dec 20, 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
- 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
- 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 3 years ago
- Gaussian processes on graphs and lattices in Stan.☆19Mar 17, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆18Feb 26, 2024Updated 2 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆41Nov 19, 2022Updated 3 years ago
- Probabilistic Numerics in Python.☆462Jul 3, 2025Updated last year
- Synthetic data library used in operator learning for PDE problems that overcomes dependence on classical solvers such as finite differenc…☆18Aug 8, 2024Updated 2 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆130Updated this week
- ☆11Oct 15, 2025Updated 11 months ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Mar 8, 2023Updated 3 years ago
- Repo for code for "Unrepresentative Surveys Significantly Overestimate Vaccine Uptake in the US"☆15Dec 18, 2021Updated 4 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Jun 11, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Dec 9, 2020Updated 5 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆16Jul 17, 2025Updated last year
- Gaussian processes in JAX and Equinox.☆666Updated this week
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Oct 12, 2020Updated 5 years ago
- Code repository for paper: A score-based filter for nonlinear data assimilation☆14Nov 5, 2024Updated last year
- Julia package for kernel functions for machine learning☆276Updated this week
- Learning unknown ODE models with Gaussian processes☆28Jul 30, 2018Updated 8 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆37May 10, 2023Updated 3 years ago
- ☆13Feb 14, 2022Updated 4 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.
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- ☆10Jul 4, 2026Updated 3 months ago
- ☆58Sep 24, 2022Updated 4 years ago
- Nonparametric Differential Equation Modeling☆56Mar 5, 2024Updated 2 years ago
- RecZilla: Metalearning for algorithm selection on Recommender Systems☆25Oct 21, 2023Updated 2 years ago
- A framework for composing Neural Processes in Julia☆74May 3, 2021Updated 5 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 5 years ago