Gaussian Processes

Bayesian OptimizationPython

A Python package for constrained global optimization using Bayesian inference and Gaussian processes.

GPyTorchPython

A highly efficient, scalable Gaussian process library implemented in PyTorch with GPU acceleration and modular design.

BoTorchJupyter Notebook

A modular library for Bayesian optimization built on PyTorch, enabling efficient optimization of expensive black-box functions.

Neural TangentsJupyter Notebook

A high-level neural network API for specifying and analyzing infinite-width neural networks as Gaussian Processes in Python.