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The Top 23 Machine Learning Bayesian Optimization Open Source Projects

Open source projects categorized as Machine Learning Bayesian Optimization
Categories > Machine Learning > Bayesian Optimization
Categories > Machine Learning > Machine Learning
Nni ⭐ 13,725
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
dependent packages 27total releases 55most recent commit 2 months agopypi nni} Downloads
Scikit Optimize ⭐ 2,700
Sequential model-based optimization with a `scipy.optimize` interface
dependent packages 191total releases 19most recent commit 3 months agopypi scikit-optimize} Downloads
Modal ⭐ 2,057
A modular active learning framework for Python
dependent packages 3total releases 428most recent commit 5 months agopypi modal} Downloads
Bayesian Machine Learning ⭐ 1,587
Notebooks about Bayesian methods for machine learning
most recent commit a year ago
Vizier ⭐ 1,142
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
dependent packages 3total releases 35most recent commit 3 months agopypi google-vizier} Downloads
Gradient Free Optimizers ⭐ 1,072
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
dependent packages 7total releases 45most recent commit 4 months agopypi gradient-free-optimizers} Downloads
Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
most recent commit 2 years ago
Emukit ⭐ 551
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
dependent packages 4total releases 9most recent commit 4 months agopypi emukit} Downloads
Hyperactive ⭐ 475
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
dependent packages 5total releases 75most recent commit 4 months agopypi hyperactive} Downloads
Syne Tune ⭐ 342
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
most recent commit 4 months ago
Sherpa ⭐ 294
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
dependent packages 3total releases 8most recent commit 4 years agopypi parameter-sherpa} Downloads
Mango ⭐ 289
Parallel Hyperparameter Tuning in Python
dependent packages 1total releases 6most recent commit 9 months agopypi arm-mango} Downloads
Intrusion Detection System Using Machine Learning ⭐ 248
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
most recent commit 6 months ago
Gpflowopt ⭐ 218
Bayesian Optimization using GPflow
total releases 1most recent commit 3 years ago
Cornell Moe ⭐ 165
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
most recent commit 4 years ago
Gpax ⭐ 163
Gaussian Processes for Experimental Sciences
total releases 8most recent commit 3 months ago
Learn To Select Data ⭐ 131
Code for Learning to select data for transfer learning with Bayesian Optimization
most recent commit 6 years ago
Baybe ⭐ 117
A Bayesian Back End for Design of Experiments
most recent commit 3 months ago
Flexs ⭐ 112
Fitness landscape exploration sandbox for biological sequence design.
total releases 9most recent commit a year ago
Summit ⭐ 92
Optimising chemical reactions using machine learning
total releases 14most recent commit 9 months ago
Parbayesianoptimization ⭐ 88
Parallelizable Bayesian Optimization in R
total releases 5most recent commit 2 years ago
Bayesianoptimization.jl ⭐ 84
Bayesian optimization for Julia
most recent commit 8 months ago
Bayesmark ⭐ 84
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
dependent packages 2total releases 9most recent commit 3 years agopypi bayesmark} Downloads
The 10 Most Depended On Machine Learning Bayesian Optimization Open Source Projects
Scikit Optimize ⭐ 2,700
Sequential model-based optimization with a `scipy.optimize` interface
dependent packages 191total releases 19latest release October 12, 2021most recent commit 3 months agopypi scikit-optimize} Downloads
Hyperactive ⭐ 475
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
dependent packages 5total releases 75latest release October 24, 2023most recent commit 4 months agopypi hyperactive} Downloads
Sherpa ⭐ 294
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
dependent packages 3total releases 8latest release November 23, 2019most recent commit 4 years agopypi parameter-sherpa} Downloads
Modal ⭐ 2,057
A modular active learning framework for Python
dependent packages 3total releases 428latest release December 09, 2023most recent commit 5 months agopypi modal} Downloads
Vizier ⭐ 1,142
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
dependent packages 3total releases 35latest release November 30, 2023most recent commit 3 months agopypi google-vizier} Downloads
Bayes Skopt ⭐ 32
A fully Bayesian implementation of sequential model-based optimization
dependent packages 2total releases 33latest release July 19, 2023most recent commit 9 months agopypi bask} Downloads
Bayesmark ⭐ 84
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
dependent packages 2total releases 9latest release September 10, 2020most recent commit 3 years agopypi bayesmark} Downloads
The 10 Latest Releases In Machine Learning Bayesian Optimization Open Source Projects
Modal ⭐ 2,057
A modular active learning framework for Python
dependent packages 3total releases 428latest release December 09, 2023most recent commit 5 months agopypi modal} Downloads
Vizier ⭐ 1,142
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
dependent packages 3total releases 35latest release November 30, 2023most recent commit 3 months agopypi google-vizier} Downloads
Bayeso ⭐ 82
Simple, but essential Bayesian optimization package
total releases 16latest release November 21, 2023most recent commit 5 months ago
Hyperactive ⭐ 475
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
dependent packages 5total releases 75latest release October 24, 2023most recent commit 4 months agopypi hyperactive} Downloads
Gpax ⭐ 163
Gaussian Processes for Experimental Sciences
total releases 8latest release October 11, 2023most recent commit 3 months ago
Mango ⭐ 289
Parallel Hyperparameter Tuning in Python
dependent packages 1total releases 6latest release August 07, 2023most recent commit 9 months agopypi arm-mango} Downloads
Bayes Skopt ⭐ 32
A fully Bayesian implementation of sequential model-based optimization
dependent packages 2total releases 33latest release July 19, 2023most recent commit 9 months agopypi bask} Downloads
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