96 Open Source Bayesian Optimization Software Projects
Free and open source bayesian optimization code projects including engines, APIs, generators, and tools.
Nni 10910 ⭐
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Amzn Emukit 389 ⭐
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Sherpa 308 ⭐
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Hyperparameter Optimization Of Machine Learning Algorithms 783 ⭐
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Cornell Moe 219 ⭐
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Bads 178 ⭐
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Resibots Limbo 182 ⭐
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 94 ⭐
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
Ts Emo 53 ⭐
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Oxfordcontrol Bayesian Optimization 37 ⭐
Reference implementation of Optimistic Expected Improvement.
Autoprognosis 42 ⭐
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 358 ⭐
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Invenia Bayesianoptimization.jl 23 ⭐
A julia package for bayesian optimization of black box functions.
Xgboost Lightgbm Hyperparameter Tuning 37 ⭐
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 19 ⭐
pyrff: Python implementation of random fourier feature approximations for gaussian processes
Tune Sklearn 333 ⭐
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Gradient Free Optimizers 835 ⭐
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Octis 282 ⭐
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Ultraopt 85 ⭐
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Aamini Chemprop 45 ⭐
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Dgemo 40 ⭐
[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
Mindware 34 ⭐
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Wangronin Bayesian Optimization 24 ⭐
Bayesian Optimization algorithms with various recent improvements
Differential Privacy Bayesian Optimization 19 ⭐
This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"
Sequential Gallery 15 ⭐
Sequential Gallery for Interactive Visual Design Optimization [SIGGRAPH 2020]
Dlr Rm Curvature 14 ⭐
Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
Quantitative Comparison Nlp Embeddings From Glove To Roberta 13 ⭐
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.
Deep Pmsm 10 ⭐
Estimate intrinsic Permanent Magnet Synchronous Motor temperatures with deep recurrent and convolutional neural networks.
Bal 10 ⭐
Bayesian Active Learning for Optimization and Uncertainty Quantification with Applications to Protein Docking
Gpo Smc Abc 10 ⭐
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
Oasw Concept Drift Detection And Adaptation 13 ⭐
An online learning method used to address concept drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.
Bayesian_optimization_material_design 11 ⭐
Accelerated Design of Layered Materials with Bayesian Optimization
Intrusion Detection System Using Machine Learning 16 ⭐
Code for intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)