Light-weighted code for Orthogonal Additive Gaussian Processes
☆46Jul 30, 2024Updated last year
Alternatives and similar repositories for orthogonal-additive-gaussian-processes
Users that are interested in orthogonal-additive-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:
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38May 30, 2019Updated 6 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- Gaussian processes regression models with linear inequality constraints☆16Jul 10, 2024Updated last year
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Jun 22, 2021Updated 4 years ago
- Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)☆12Aug 16, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Oct 16, 2024Updated last year
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Mar 10, 2014Updated 12 years ago
- Computational statistics and machine learning reading group at Imperial College London (2019-2020)☆26Jan 9, 2026Updated 4 months ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13May 8, 2019Updated 7 years ago
- A community repository for benchmarking Bayesian methods☆11May 25, 2023Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆112Nov 29, 2021Updated 4 years ago
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆11Nov 10, 2020Updated 5 years ago
- Project repo for gpSLDS☆19Jan 12, 2026Updated 3 months ago
- Python model for constrained GP☆26Apr 14, 2021Updated 5 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.
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- ☆25Sep 10, 2023Updated 2 years ago
- Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration☆12Jun 8, 2018Updated 7 years ago
- UAI paper 'Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions'☆11Jun 26, 2019Updated 6 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆31Feb 3, 2025Updated last year
- A rewritten version of C++ Design Patterns and Derivatives Pricing coded in Python☆10Sep 16, 2019Updated 6 years ago
- This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…☆10Sep 9, 2017Updated 8 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆31Apr 22, 2026Updated 2 weeks ago
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 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.
- PyTorch implementation of the Covariate-GPLVM☆25Mar 1, 2020Updated 6 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Aug 27, 2020Updated 5 years ago
- ☆13Jun 8, 2025Updated 11 months ago
- The official dataload for http://www.nonlinearbenchmark.org/☆26Apr 10, 2026Updated last month
- Gaussian process regression + automatical model selection for logitudinal -omics data☆20Mar 11, 2021Updated 5 years ago
- code for BINOCULARS and Multi-Step BO☆12Dec 7, 2020Updated 5 years ago
- A Python implementation of a sum-product network with gaussian processes leafs model (SPNGP, arXiv:1809.04400)☆19Jun 29, 2023Updated 2 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 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.☆242Dec 22, 2023Updated 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.
- Geometric kernels on manifolds, meshes and graphs☆586Mar 10, 2026Updated 2 months ago
- Zheng Zhao's doctoral dissertation from Aalto University☆35Oct 10, 2022Updated 3 years ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆14Aug 15, 2021Updated 4 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆16Jul 9, 2018Updated 7 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆45Nov 6, 2023Updated 2 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Sep 9, 2017Updated 8 years ago