scikit-optimize / scikit-optimize Star 2.7k Code Issues Pull requests Discussions Sequential model-based optimization with a `scipy.optimize` interface visualization machine-learning binder optimization scikit-learn scientific-visualization scientific-computing hyperparameter-optimization bayesopt bayesian-optimization hacktoberfest hyperparameter-tuning hyperparameter hyperparameter-search sequential-recommendation Updated Feb 23, 2024 Python
d4l3k / go-bayesopt Star 50 Code Issues Pull requests A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang. go machine-learning optimization hyperparameter-optimization bayesopt gaussian-processes bayesianoptimization blackbox-optimizer Updated May 31, 2024 Go
kiudee / bayes-skopt Sponsor Star 38 Code Issues Pull requests Discussions A fully Bayesian implementation of sequential model-based optimization python machine-learning optimization hyperparameter-optimization bayesopt mcmc bayesian-optimization Updated Nov 28, 2023 Python
TaehyeonKim-pyomu / CNN_compression_rank_selection_BayesOpt Star 14 Code Issues Pull requests Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access cnn pytorch bayesopt convolutional-neural-networks bayesian-optimization tensorly tucker model-compression cnn-compression network-acceleration rank-selection model-acceleration neural-network-compression gpyopt low-rank network-compression-acceleration Updated Mar 21, 2021 Python
georgedeath / how-bayesian-should-BO-be Star 2 Code Issues Pull requests How Bayesian should Bayesian Optimisation be? inference bayesopt variational-inference bayesian-optimization hmc bayesian-optimisation acquisition-functions Updated Jul 26, 2021 Jupyter Notebook