Popular GitHub Repositories for Bayesian Optimization

Automated Machine Learning with scikit-learn

a distributed Hyperband implementation on Steroids

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Bayesian Optimization and Design of Experiments

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.

Experimental design and (multi-objective) bayesian optimization.

Bayesian Optimization using GPflow

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

Anomaly detection for temporal data using LSTMs

Gaussian Processes for Experimental Sciences

Toolbox for Bayesian Optimization and Model-Based Optimization in R

GPstuff - Gaussian process models for Bayesian analysis

Collection of hyperparameter optimization benchmark problems

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Optimising chemical reactions using machine learning

A fully decentralized hyperparameter optimization framework

opinionated bayesian optimisation for stable diffusion models block merge

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Minimal Implementation of Bayesian Optimization in JAX