Surrogate Final BH properties

constrained/unconstrained multi-objective bayesian optimization package.

Sparse Spectrum Gaussian Process Regression

Multi Kernel Linear Mixed Models for Complex Phenotype Prediction

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

Code and data accompanying our work on spatio-thermal depth correction of RGB-D sensors based on Gaussian Process Regression in real-time.

Gaussian Process Regression vs. Relevance Vector Machine.

Gaussian process regression with feature selection

Bayesian Inference. Parallel implementations of DREAM, DE-MC and DRAM.

Differentiable Gaussian Process implementation for PyTorch

Personal reimplementation of some ML algorithms for learning purposes

Modelling stellar activity signals with Gaussian process regression networks

A review of python packages for Gaussian Process Regression

Stochastic Process Library for Python

Gaussian process regression-based adversarial image detection

Fair Classification with Gaussian Process (FCGP)

Official implementation of Self-Distillation for Gaussian Processes

EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data

Gaussian Process Regression for training data with noisy inputs and/or outputs

Minimal Implementation of Bayesian Optimization in JAX