Deep GPs built on top of TensorFlow/Keras and GPflow
☆128Oct 16, 2024Updated last year
Alternatives and similar repositories for GPflux
Users that are interested in GPflux 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 Tensorflow based library for Time Series Modelling with Gaussian Processes☆31Jul 4, 2024Updated last year
- A Bayesian optimization toolbox built on TensorFlow☆248Jan 14, 2026Updated 3 months ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38May 30, 2019Updated 6 years ago
- Gaussian processes in TensorFlow☆1,906May 29, 2025Updated 10 months ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Feb 11, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆112Nov 29, 2021Updated 4 years ago
- Gaussian processes with spherical harmonic features in JAX☆16Aug 24, 2025Updated 7 months ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 5 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆45Jul 30, 2024Updated last year
- A community repository for benchmarking Bayesian methods☆11May 25, 2023Updated 2 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
- Gaussian processes in JAX and Flax.☆608Updated this week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Fully nonstationary, heteroscedastic GP for Matlab☆16Jul 25, 2024Updated last year
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Dec 20, 2023Updated 2 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Nov 5, 2018Updated 7 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 6 years ago
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆21Jan 27, 2026Updated 2 months ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Aug 27, 2020Updated 5 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆70Jan 17, 2025Updated last year
- Gaussian Processes for Sequential Data☆19Dec 12, 2020Updated 5 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆34Oct 7, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Random feature latent variable models in Python☆23Jul 23, 2023Updated 2 years ago
- Deep Gaussian Processes in Python☆233May 4, 2021Updated 4 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆31Feb 3, 2025Updated last year
- Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes☆49Jul 23, 2022Updated 3 years ago
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13May 19, 2023Updated 2 years ago
- Gaussian process modelling in Python☆226Dec 15, 2024Updated last year
- A generic interface for linear algebra backends☆78Mar 13, 2026Updated last month
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆153Feb 21, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Python model for constrained GP☆26Apr 14, 2021Updated 5 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- The tiniest of Gaussian Process libraries☆341Apr 6, 2026Updated last week
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- ☆12Jul 16, 2023Updated 2 years ago
- Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt…☆121Mar 12, 2026Updated last month
- Multi-Output Gaussian Process Toolkit☆189Jun 4, 2025Updated 10 months ago