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ax

Adaptive Experimentation Platform

bayesmark

Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

botorch

Bayesian optimization in PyTorch

casmopolitan

[ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces

cornell-ssw.github.io

Home page of the Scientific Software Club at Cornell

ensemble-bayesian-optimization

Code repository for Ensemble Bayesian Optimization

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

ludwig-docs

Ludwig's documentation

marp

Markdown presentation writer, powered by Electron.

matlab_wrapper

MATLAB wrapper for Python

poap

Plumbing for Optimization with Asynchronous Parallelism

pyro

Deep universal probabilistic programming with Python and PyTorch

pysot

Surrogate Optimization Toolbox for Python

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sot

C++11 implementation of surrogate based optimization algorithms

spearmint

Spearmint Bayesian optimization codebase

ssw_matlab

ssw_sphinx

trieste

A Bayesian optimization toolbox built on TensorFlow

webpage

My Cornell webpage