gaussian-process topic

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

automl

sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model

stefanch

A minimal implementation of Gaussian process regression in PyTorch

swyoon

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting

nicholasjclark

Flexible Bayesian Optimization in R

mlr-org

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

robinthibaut

Automated Bayesian model discovery for time series data

probsys

Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization

ntienvu

1D, super-resolution brightness profile reconstruction for interferometric sources

discsim

ma-compbio