Additional kernels that can be used with scikit-learn's Gaussian Process module
☆84Jul 8, 2024Updated 2 years ago
Alternatives and similar repositories for gp_extras
Users that are interested in gp_extras are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Fully nonstationary, heteroscedastic GP for Matlab☆16Jul 25, 2024Updated 2 years ago
- Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow☆13Nov 11, 2020Updated 5 years ago
- Some scikit-learn-esque wrappers for statsmodels GLM☆23Jul 26, 2013Updated 13 years ago
- Bayesian optimization☆39Dec 3, 2019Updated 6 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Apr 5, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39May 6, 2020Updated 6 years ago
- Pricing Asian options using finite difference schemes in Python☆11Jun 20, 2025Updated last year
- Efficient Dirichlet process clustering☆26Jun 22, 2013Updated 13 years ago
- Deep Gaussian Processes in Python☆232Updated this week
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Python implementation of mixtures of linear regressions.☆14Nov 27, 2019Updated 6 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Mar 10, 2014Updated 12 years ago
- Collapsed Variational Bayes☆72Sep 27, 2019Updated 7 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.
- ☆16Apr 11, 2020Updated 6 years ago
- Bayesian Optimization with multiple tiers of objectives, which can flexibly depend on model inputs and outputs☆14Sep 10, 2025Updated last year
- Hierarchical Change-Point Detection☆17Oct 25, 2018Updated 7 years ago
- Kernel Identification Through Transformers☆14May 19, 2023Updated 3 years ago
- Gaussian processes framework in python☆2,169Updated this week
- modular implementation of new algorithm☆13Jun 4, 2014Updated 12 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Mar 29, 2019Updated 7 years ago
- Preparing continuous features for neural networks with GaussRank☆45Jan 22, 2018Updated 8 years ago
- Implementation of Nadaraya-Watson kernel regression with automatic bandwidth selection compatible with sklearn.☆81May 15, 2016Updated 10 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.
- A basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system☆15Nov 15, 2023Updated 2 years ago
- Gaussian processes in TensorFlow☆1,921Updated this week
- Fast and flexible Gaussian Process regression in Python☆461Jun 22, 2026Updated 3 months ago
- Notebook tutorials☆14Oct 3, 2023Updated 3 years ago
- An attempt to formalize my thoughts. A pythonic approach to mental housekeeping☆15Apr 21, 2016Updated 10 years ago
- Spatial Interpolation in Python☆13Oct 28, 2023Updated 2 years ago
- Manifold Alignment code for Matlab☆11Mar 4, 2016Updated 10 years ago
- my PhD thesis on Bayesian inference☆27Sep 2, 2013Updated 13 years ago
- A simple C++ wrapper around the original Fortran L-BGSG-B routine☆12Mar 20, 2017Updated 9 years ago
- 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.
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 5 years ago
- This repository contains the codes for manipulability learning, tracking and transfer.☆28Oct 14, 2021Updated 5 years ago
- Code for AutoGP☆27Jul 19, 2019Updated 7 years ago
- A user-centered Python package for differentiable probabilistic inference☆203Sep 17, 2020Updated 6 years ago
- A Python Multiple kernel learning library.☆57Mar 5, 2019Updated 7 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33May 9, 2016Updated 10 years ago