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
- Machine learning applied to interpolate sea-surface height observations from altimetry tracks.☆11Apr 3, 2023Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow☆13Nov 11, 2020Updated 5 years ago
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago
- Batch and incremental Sparse Spectrum Gaussian Process for Regression☆10Mar 16, 2021Updated 5 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
- ☆12Aug 20, 2026Updated last week
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆93Sep 7, 2017Updated 8 years ago
- 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
- 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.
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Nov 16, 2023Updated 2 years ago
- code for BINOCULARS and Multi-Step BO☆12Dec 7, 2020Updated 5 years ago
- My graduation thesis, consisting in estimating the end-effector force on the UR3 robot manipulator☆11Jan 2, 2020Updated 6 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 for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆35Sep 27, 2023Updated 2 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Dec 3, 2025Updated 8 months ago
- Molecular Property Prediction using GP with a SOAP kernel☆22Nov 16, 2020Updated 5 years ago
- GPyTorch Implementation of Online Sparse Gaussian Process Regression☆11Apr 7, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Streaming sparse Gaussian process approximations☆70Oct 5, 2022Updated 3 years ago
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆30Nov 26, 2022Updated 3 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 4 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆39Dec 19, 2022Updated 3 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 5 years ago
- Elucidate and visualise a compound's mechanism of action by combining structure-based target prediction with gene expression-based causal…☆13Feb 11, 2023Updated 3 years ago
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"☆13Oct 25, 2021Updated 4 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Jul 25, 2018Updated 8 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
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Guarantees on the behavior of neural networks don't always have to come at the cost of performance.☆30Oct 12, 2022Updated 3 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆48Mar 12, 2021Updated 5 years ago
- A ML-oriented generic patcher for xarray data structures.☆19Mar 9, 2026Updated 5 months ago
- Infinite-horizon Gaussian processes☆33Sep 28, 2020Updated 5 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Mar 10, 2014Updated 12 years ago
- ☆10Apr 27, 2025Updated last year
- Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner…☆17Apr 26, 2023Updated 3 years ago