Parallel Hyperparameter Tuning in Python
Python code for bayesian optimization using Gaussian processes
Gaussian Process Motion Planner 2
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
I try my best to keep updated cutting-edge knowledge in Machine Learning...
Julia package for kernel functions for machine learning
A Python library for the state-of-the-art Bayesian optimization algorith...
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
A lightweight framework for Gaussian processes and Bayesian optimization...
This is a Project Page of 'Towards a complete 3D morphable model of the ...
Safe reinforcement learning with stability guarantees
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of ...
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and mode...
Gaussian process modelling in Python
Abstract types and methods for Gaussian Processes.