Exploring how to to deal with uncertain inputs with gaussian process regression models.
☆27Apr 16, 2021Updated 5 years ago
Alternatives and similar repositories for uncertain_gps
Users that are interested in uncertain_gps are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- Heteroscedastic Bayesian Optimisation in Numpy☆24Feb 15, 2023Updated 3 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Mar 29, 2019Updated 7 years ago
- Literature and light wrappers for gaussian process models.☆48Jun 26, 2021Updated 5 years ago
- Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow☆13Nov 11, 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.
- Machine learning applied to interpolate sea-surface height observations from altimetry tracks.☆11Apr 3, 2023Updated 3 years ago
- Batch and incremental Sparse Spectrum Gaussian Process for Regression☆10Mar 16, 2021Updated 5 years ago
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago
- ☆11Feb 6, 2018Updated 8 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆73May 10, 2017Updated 9 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- Interactive textbook on state space models☆12Apr 11, 2022Updated 4 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆93Sep 7, 2017Updated 8 years ago
- ☆11Jun 8, 2026Updated 2 weeks 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.
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆10Nov 10, 2020Updated 5 years ago
- Benchmarking tools for applying AI/ML to data assimilation☆28Jun 17, 2026Updated last week
- code for BINOCULARS and Multi-Step BO☆12Dec 7, 2020Updated 5 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆27Dec 10, 2022Updated 3 years ago
- Fast Numba-enabled CPU and GPU computations of Earth Mover's (scipy.stats.wasserstein_distance) and Euclidean distances.☆18Jan 3, 2025Updated last year
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆34Sep 27, 2023Updated 2 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆76Dec 3, 2025Updated 6 months ago
- GPyTorch Implementation of Online Sparse Gaussian Process Regression☆11Apr 7, 2024Updated 2 years ago
- Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.☆11Jun 3, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 5 years ago
- This repo contains the datasets used for the paper The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials.☆21Aug 30, 2022Updated 3 years ago
- OceanBench - SSH edition☆22Feb 5, 2024Updated 2 years ago
- ☆28Dec 4, 2025Updated 6 months ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆39Dec 19, 2022Updated 3 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Jul 25, 2018Updated 7 years ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Oct 14, 2024Updated last year
- Infinite-horizon Gaussian processes☆33Sep 28, 2020Updated 5 years ago
- Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…☆16Aug 4, 2017Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for the paper Multi-task Causal Learning with Gaussian Processes (https://arxiv.org/pdf/2009.12821.pdf)☆13Oct 17, 2020Updated 5 years ago
- [NAACL(2019)] Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models☆11Apr 27, 2022Updated 4 years ago
- ☆10Apr 27, 2025Updated last year
- Gaussian Mixture Models in Jax☆25Jul 14, 2025Updated 11 months ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Mar 10, 2014Updated 12 years ago
- Material for a training on AI tools☆18May 21, 2026Updated last month
- This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.☆30Jul 16, 2021Updated 4 years ago