Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)
☆22Jun 22, 2021Updated 4 years ago
Alternatives and similar repositories for solvegp
Users that are interested in solvegp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Recyclable Gaussian Processes☆11Dec 8, 2022Updated 3 years ago
- ☆12Jun 5, 2015Updated 10 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Aug 27, 2020Updated 5 years ago
- Minimalist version of probml/rebayes☆10Apr 9, 2026Updated last month
- ☆26Jun 19, 2020Updated 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.
- Light-weighted code for Orthogonal Additive Gaussian Processes☆46Jul 30, 2024Updated last year
- Continual Gaussian Processes☆31Jul 6, 2023Updated 2 years ago
- Nonparametric Score Estimators, ICML 2020☆37Jun 25, 2021Updated 4 years ago
- PyTorch implementation of the Covariate-GPLVM☆25Mar 1, 2020Updated 6 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- Learning Hawkes Processes from a Handful of Events☆13Jul 6, 2023Updated 2 years ago
- ☆10Nov 17, 2020Updated 5 years ago
- Accompanying code for "Weak form generalized Hamiltonian learning"☆11Feb 13, 2021Updated 5 years ago
- ☆19Dec 13, 2023Updated 2 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.
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆12Dec 24, 2023Updated 2 years ago
- ☆24Aug 4, 2023Updated 2 years ago
- Pytorch implementation of an autoencoder built from pre-trained Restricted Boltzmann Machines (RBMs)☆24Dec 16, 2020Updated 5 years ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Nov 14, 2023Updated 2 years ago
- This code demonstrates a multi-branch deep neural network approach to tackling the problem of multivariate temporal sequence prediction b…☆14Sep 28, 2020Updated 5 years ago
- Code for "DeepPolar codes", ICML 2024☆12May 7, 2024Updated 2 years ago
- Spacecraft Dynamics and Control☆16Aug 28, 2024Updated last year
- Least-squares (sparse) spectral estimation and (sparse) LPV spectral decomposition.☆13Dec 9, 2024Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 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.
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Oct 15, 2020Updated 5 years ago
- Code companion of Multi-task Learning for Aggregated Data using Gaussian Processes paper☆11Apr 6, 2020Updated 6 years ago
- Portfolio Construction using Stratified Models☆12Mar 25, 2021Updated 5 years ago
- ☆12Oct 21, 2018Updated 7 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- Code for "Automatic repair of convex optimization problems".☆14Feb 4, 2020Updated 6 years ago
- Code release for "Generative Modeling of Weights: Generalization or Memorization?"☆21Apr 9, 2026Updated last month
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆17Oct 12, 2022Updated 3 years ago
- ☆19Mar 31, 2024Updated 2 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.
- 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
- Official codes for Scalable Infomin Learning, NeurIPS 2022☆14Feb 28, 2023Updated 3 years ago
- Official implementation of GPX: Gaussian Process Regression with Interpretable Sample-wise Feature Weights (published on TNNLS)☆17Feb 8, 2022Updated 4 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Dec 9, 2020Updated 5 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆28Aug 5, 2020Updated 5 years ago
- Mueen-Keogh Algorithm for finding timeseries motifs☆21Feb 25, 2021Updated 5 years ago
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆20Jul 15, 2022Updated 3 years ago