Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
☆66Mar 5, 2021Updated 5 years ago
Alternatives and similar repositories for online_gp
Users that are interested in online_gp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Online variational GPs☆38Jun 1, 2023Updated 2 years ago
- stochastic recursive Gaussian Process (SRGP)☆20Nov 27, 2020Updated 5 years ago
- Gaussian Online Processes for Python☆19Jan 5, 2025Updated last year
- Code for RSS 2024 Paper "POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering"☆14May 30, 2024Updated last year
- Streaming sparse Gaussian process approximations☆69Oct 5, 2022Updated 3 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆24Dec 8, 2022Updated 3 years ago
- Bayesian Committee Machines in Python with GPy and multiprocessing☆20Feb 16, 2019Updated 7 years ago
- A software package for flexible HPC GPs☆15Updated this week
- ☆16Aug 29, 2022Updated 3 years ago
- ☆11Dec 21, 2023Updated 2 years ago
- ☆30Aug 11, 2022Updated 3 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Jan 25, 2024Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- Gaussian process library for machine learning☆126Apr 27, 2025Updated 10 months ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆12Aug 1, 2022Updated 3 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆15Dec 30, 2022Updated 3 years ago
- Fast Gaussian-process inference using Vecchia approximations☆22Jan 29, 2026Updated last month
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Dec 19, 2022Updated 3 years ago
- RAPA-Planner: Robust and Efficient Motion Planning for Quadrotors Based on Parallel RA-MPPI☆24Oct 9, 2024Updated last year
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆49Apr 29, 2021Updated 4 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Apr 22, 2022Updated 3 years ago
- This code completes a tutorial about gaussian mixture models (gmm) in python using scikit-learn☆15May 4, 2021Updated 4 years ago
- Quantile Regression with R, JAGS and Stan☆13Oct 15, 2015Updated 10 years ago
- Sampling based GP MPC☆42Feb 12, 2026Updated last month
- NOMU: Neural Optimization-based Model Uncertainty☆10Feb 17, 2023Updated 3 years ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆20Dec 8, 2021Updated 4 years ago
- Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow☆13Nov 11, 2020Updated 5 years ago
- ☆70Nov 10, 2025Updated 4 months ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- Lab notebooks for CS474, Fall 2019☆14Jan 22, 2025Updated last year
- A library of discrete objectives☆27Oct 5, 2025Updated 5 months ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 3 years ago
- Lazy, structured, and efficient operations with kernel matrices.☆21Jan 29, 2023Updated 3 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Apr 16, 2021Updated 4 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Oct 11, 2021Updated 4 years ago
- Conditional density estimation with neural networks☆35Jan 18, 2025Updated last year
- Model Predictive Controller for a quadcopter model using Acados nlp optimization☆22Nov 1, 2022Updated 3 years ago
- Code for "Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter"☆23May 24, 2023Updated 2 years ago