Stochastic variational heteroscedastic Gaussian process
☆15Mar 29, 2019Updated 7 years ago
Alternatives and similar repositories for SVSHGP
Users that are interested in SVSHGP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow☆13Nov 11, 2020Updated 5 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Apr 5, 2021Updated 5 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆24Feb 15, 2023Updated 3 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆11Oct 25, 2021Updated 4 years ago
- Bayesian optimization based on Gaussian processes☆13Dec 2, 2022Updated 3 years ago
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- ☆11Jun 17, 2016Updated 10 years ago
- Examples on how to use terrabyte for Earth Observation datasets☆11Dec 11, 2025Updated 8 months ago
- Released code for ICDM 2016 Budgeted Batch Bayesian Optimization☆10Feb 11, 2019Updated 7 years ago
- pyTorch variational autoencoder, with explainations☆11May 31, 2017Updated 9 years ago
- Active learning of extreme events using deep neural operators.☆17Nov 10, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆11Apr 23, 2024Updated 2 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Jan 13, 2020Updated 6 years ago
- Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317☆16Oct 31, 2018Updated 7 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 years ago
- Randomized Linear Algebra in Python☆13Mar 21, 2017Updated 9 years ago
- Online LDA using Hoffman's Python Implementation☆15Nov 14, 2014Updated 11 years ago
- Teaching material for the OpenGeoHub summer school☆10Sep 4, 2023Updated 3 years ago
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.☆12Oct 13, 2022Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆40Apr 29, 2019Updated 7 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆37May 30, 2019Updated 7 years ago
- The repository contains code for the project "Explain the uncertain: Stochastic Shapley Values for Gaussian Process Models"☆17Jul 30, 2024Updated 2 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆42Apr 24, 2020Updated 6 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 12 years ago
- Preconditioning Kernel Matrices☆16Jun 9, 2016Updated 10 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- A collection of Black Box Variational Inference algorithms implemented in an object-oriented Python framework using Autograd.☆11Sep 7, 2018Updated 8 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Aug 5, 2025Updated last year
- 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.
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Dec 8, 2022Updated 3 years ago
- code supplement for variational boosting (https://arxiv.org/abs/1611.06585)☆11Jul 24, 2017Updated 9 years ago
- infinite Gaussian Mixture Model(Dirichlet Process Gaussian Mixture Model) by gibbs sampling. Multivaraite Gaussian with full covariance a…☆14Feb 23, 2019Updated 7 years ago
- Multi-fidelity classification with Gaussian process☆19Jul 18, 2023Updated 3 years ago
- stactools package for Sentinel-2☆19Jan 26, 2026Updated 7 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆70Jan 17, 2025Updated last year
- Offline Contextual Bayesian Optimization☆15Jul 20, 2023Updated 3 years ago