90 Open Source Bayesian Optimization Software Projects
Free and open source bayesian optimization code projects including engines, APIs, generators, and tools.
Nni 10424 ⭐
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Amzn Emukit 364 ⭐
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Sherpa 303 ⭐
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Hyperparameter Optimization Of Machine Learning Algorithms 731 ⭐
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Cornell Moe 210 ⭐
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Bads 174 ⭐
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Resibots Limbo 177 ⭐
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)
Keras_gpyopt 55 ⭐
Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
Bayesmark 91 ⭐
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
Ts Emo 50 ⭐
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Oxfordcontrol Bayesian Optimization 36 ⭐
Reference implementation of Optimistic Expected Improvement.
Autoprognosis 40 ⭐
Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
Approxposterior 33 ⭐
A Python package for approximate Bayesian inference and optimization using Gaussian processes
Hyperactive 311 ⭐
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Invenia Bayesianoptimization.jl 22 ⭐
A julia package for bayesian optimization of black box functions.
Xgboost Lightgbm Hyperparameter Tuning 34 ⭐
Bayesian Optimization and Grid Search for xgboost/lightgbm
Cvopt 13 ⭐
Machine learning's parameter search and feature selection module which is integrated log management and visualization.
Pyrff 18 ⭐
pyrff: Python implementation of random fourier feature approximations for gaussian processes
Tune Sklearn 316 ⭐
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Null 790 ⭐
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Null 243 ⭐
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Null 79 ⭐
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Null 40 ⭐
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Null 33 ⭐
[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
Null 30 ⭐
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Null 17 ⭐
This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"
Null 12 ⭐
Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
Null 11 ⭐
Fair quantitative comparison of NLP embeddings from GloVe to RoBERTa with Sequential Bayesian Optimization fine-tuning using Flair and SentEval. Extension of HyperOpt library to log_b priors.
Null 10 ⭐
Estimate intrinsic Permanent Magnet Synchronous Motor temperatures with deep recurrent and convolutional neural networks.
Null 10 ⭐
Bayesian Active Learning for Optimization and Uncertainty Quantification with Applications to Protein Docking
Null 10 ⭐
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods