A Visual Exploration of Gaussian Processes

A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis and to regularise vector fields using global structures.

Gaussian process based implementation for galaxy star formation histories with custom kernels

MATIC stands for Multiband Astronomical TIme-series Classifier

PyTorch implementation of Gaussian process models for research and education

American Sign Language (ASL) Detection using CNN

Latent gaussian processes for zero inflated count data.

Testing submission of AWS batch jobs using BoTorch (via Ax) and TorchX for neural architecture search

Polling data for forecasting models 🇧🇷 🇦🇷 🇻🇪 🇺🇾

This repository includes 3 Jupyter notebooks and all text files needed to reproduce the numbers and figures given in "High-Pass Filtering and Gaussian Process Regularization: Stellar Activity Characterization Techniques Applied to the 55 Cnc Planetary System".

Exploring Gaussian Processes with Lithuanian weather forecast data

Towards GPflow 1.0

🧮Java application that solves linear systems by the Gaussian scaling method🧠

R interface to 'dgpsi' for deep and linked Gaussian process emulations

Available R-Packages for Gaussian Process Regression

Notes on Gaussian processes