Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
☆49Nov 11, 2021Updated 4 years ago
Alternatives and similar repositories for spatio-temporal-GPs
Users that are interested in spatio-temporal-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:
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆243Dec 22, 2023Updated 2 years ago
- ☆10Jul 25, 2022Updated 4 years ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Nov 7, 2022Updated 3 years ago
- Painless distributed training with torch☆12Apr 28, 2026Updated 5 months ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆23Sep 26, 2023Updated 3 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Jul 12, 2021Updated 5 years ago
- This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…☆37Jul 21, 2025Updated last year
- This proejct is used to read sensor data based on AD5940 and STM32H743. AD5940 is a bridge between sensor and STM32H743. This project sup…☆10Apr 24, 2021Updated 5 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆22Jul 20, 2024Updated 2 years ago
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆40May 22, 2018Updated 8 years 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
- Collocate xarray trajectories in arbitrary physical dimensions☆20Sep 6, 2018Updated 8 years ago
- Literature and light wrappers for gaussian process models.☆48Jun 26, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Example codes in Python for HDF-EOS☆19Jul 11, 2015Updated 11 years ago
- Modular Gaussian Processes☆17Dec 9, 2021Updated 4 years ago
- Collection of Python scripts and notebooks to demonstrate plotting on the ICON grid.☆18Feb 9, 2026Updated 7 months ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- Probabilistic Numerics in Python.☆462Jul 3, 2025Updated last year
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Sep 15, 2025Updated last year
- The Pytorch implementation of Time aware and Feature similarity Self Attention in Vessel Fuel Consumption Prediction☆12Dec 15, 2021Updated 4 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.
- Code for paper "AK: Attentive Kernel for Information Gathering. Robotics: Science and Systems (RSS), 2022."☆22Jan 27, 2024Updated 2 years ago
- Metu-Sensor-Fusion-Lab / Multi-Ellipsoidal-Extended-Target-Tracking-with-Variational-Bayes-Inference☆11Jul 19, 2022Updated 4 years ago
- Re-implementation of Memory Networks (MemNN) paper of Facebook AI Research Lab.☆16May 6, 2020Updated 6 years ago
- This code trains a graph convolutional network in Torch Geometric to predict the solubility of molecules☆17Dec 16, 2020Updated 5 years ago
- Scikit-learn-compatible datasets☆16Jul 28, 2026Updated 2 months ago
- ☆10Mar 22, 2021Updated 5 years ago
- Gaussian Process Model Building Interface☆52Mar 11, 2025Updated last year
- ☆131Jun 8, 2023Updated 3 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆35Oct 7, 2022Updated 4 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.
- Repository for Deterministic Particle Flow Control framework☆10Nov 13, 2022Updated 3 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Mar 8, 2023Updated 3 years ago
- Multiple linear regression from Statsmodels library coupled with Xarray library☆14Jul 5, 2019Updated 7 years ago
- Python project template/scaffold and best practices☆42Sep 6, 2025Updated last year
- Fully nonstationary, heteroscedastic GP for Matlab☆16Jul 25, 2024Updated 2 years ago
- Convolutions and more as einsum for PyTorch☆18Jun 6, 2024Updated 2 years ago
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆14May 23, 2024Updated 2 years ago