gaussian-processes topic
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
PyKrige
Kriging Toolkit for Python
celerite
Scalable 1D Gaussian Processes in C++, Python, and Julia
Good-Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
GPflow
Gaussian processes in TensorFlow
vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
DynaML
Scala Library/REPL for Machine Learning Research
gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
limbo
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
GPBoost
Combining tree-boosting with Gaussian process and mixed effects models