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1.8k

14.0k

mit

284

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

This repository has been archived (exclude archived)

Created 2018-06-01

3,012 commits to master branch, last one about a year ago

BayesianOptimization bayesian-optimization

1.5k

7.9k

mit

131

A Python implementation of global optimization with gaussian processes.

python simple optimization gaussian-processes bayesian-optimization

Created 2014-06-06

386 commits to master branch, last one 16 days ago

auto-sklearn automl

1.3k

7.6k

bsd-3-clause

215

Automated Machine Learning with scikit-learn

smac automl metalearning scikit-learn meta-learning bayesian-optimization hyperparameter-search hyperparameter-tuning automated-machine-learning hyperparameter-optimization

Created 2015-07-02

2,759 commits to development branch, last one about a year ago

scikit-optimize scikit-optimize

546

2.7k

bsd-3-clause

63

Sequential model-based optimization with a `scipy.optimize` interface

binder bayesopt optimization scikit-learn hacktoberfest visualization hyperparameter machine-learning scientific-computing bayesian-optimization hyperparameter-search hyperparameter-tuning scientific-visualization sequential-recommendation hyperparameter-optimization

This repository has been archived (exclude archived)

Created 2016-03-20

1,570 commits to master branch, last one 3 years ago

modAL modAL-python

324

2.2k

mit

44

A modular active learning framework for Python

python scikit-learn active-learning machine-learning machine-learning-api bayesian-optimization active-learning-module machine-learning-library machine-learning-algorithms

Created 2017-11-14

739 commits to master branch, last one about a year ago

bayesian-machine-learning krasserm

460

1.8k

apache-2.0

76

Notebooks about Bayesian methods for machine learning

bayesian-methods machine-learning gaussian-processes bayesian-optimization variational-autoencoder bayesian-machine-learning

Created 2018-03-19

136 commits to dev branch, last one 8 months ago

vizier google

95

1.5k

apache-2.0

24

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

grpc google tuning vizier algorithm open-source optimization deep-learning machine-learning tuning-parameters distributed-systems bayesian-optimization blackbox-optimization distributed-computing hyperparameter-tuning evolutionary-algorithms hyperparameter-optimization

Created 2022-02-16

1,143 commits to main branch, last one a day ago

Hyperparameter-Optimization-of-Machine-Learning-Algorithms LiYangHart

300

1.3k

mit

88

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Created 2020-07-23

40 commits to master branch, last one 2 years ago

Gradient-Free-Optimizers SimonBlanke

84

1.2k

mit

21

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

hyperactive nelder-mead optimization hill-climbing random-search meta-heuristic machine-learning simulated-annealing evolution-strategies bayesian-optimization blackbox-optimization constrained-optimization tree-of-parzen-estimator gradient-free-optimization hyperparameter-optimization particle-swarm-optimization

Created 2020-04-04

881 commits to master branch, last one 16 days ago

SMAC3 automl

224

1.1k

other

42

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

automl configuration random-forest gaussian-process bayesian-optimisation bayesian-optimization hyperparameter-search hyperparameter-tuning algorithm-configuration automated-machine-learning hyperparameter-optimization

Created 2016-08-17

2,074 commits to main branch, last one 3 months ago

OCTIS MIND-Lab

105

729

mit

15

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

nlp nlproc nlp-library topic-models topic-modeling evaluation-metrics neural-topic-models bayesian-optimization hyperparameter-search hyperparameter-tuning latent-semantic-analysis hyperparameter-optimization latent-dirichlet-allocation natural-language-processing non-negative-matrix-factorization

Created 2020-03-13

1,150 commits to master branch, last one 3 months ago

HpBandSter automl

109

610

bsd-3-clause

26

a distributed Hyperband implementation on Steroids

automl bayesian-optimization automated-machine-learning neural-architecture-search hyperparameter-optimization

Created 2017-12-17

188 commits to master branch, last one 2 years ago

emukit EmuKit

128

603

apache-2.0

17

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc...

python emulation multi-fidelity decision-making machine-learning bayesian-quadrature experimental-design sensitivity-analysis bayesian-optimization uncertainty-quantification

Created 2018-09-04

387 commits to main branch, last one about a month ago

Hyperactive SimonBlanke

42

513

mit

12

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

keras python pytorch xgboost hyperactive data-science optimization scikit-learn deep-learning model-selection machine-learning parameter-tuning parallel-computing feature-engineering bayesian-optimization automated-machine-learning neural-architecture-search hyperparameter-optimization

Created 2018-11-01

2,382 commits to master branch, last one 7 days ago

tune-sklearn ray-project

51

466

apache-2.0

17

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

automl gridsearchcv scikit-learn bayesian-optimization hyperparameter-tuning

This repository has been archived (exclude archived)

Created 2019-11-28

182 commits to master branch, last one about a year ago

Intrusion-Detection-System-Using-Machine-Learning Western-OC2-Lab

109

414

mit

11

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

hpo kmeans xgboost catboost lightgbm stacking cicids2017 decision-tree random-forest cyber-security python-examples machine-learning network-security ensemble-learning autonomous-vehicles intrusion-detection bayesian-optimization intrusion-detection-system hyperparameter-optimization

Created 2021-05-25

50 commits to main branch, last one about a year ago

mango ARM-software

46

398

apache-2.0

11

Parallel Hyperparameter Tuning in Python

keras-examples neural-network neural-networks machine-learning scipy-compatible production-system tuning-parameters cluster-deployment gaussian-processes parallel-computing pytorch-compatible sklearn-compatible tensorflow-examples bayesian-optimization blackbox-optimization hyperparameter-tuning kubernetes-deployment hyperparameter-optimization

Created 2019-10-18

281 commits to main branch, last one 2 months ago

syne-tune syne-tune

51

389

apache-2.0

12

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

sagemaker machine-learning bayesian-optimization hyperparameter-tuning neural-architecture-search hyperparameter-optimization multi-objective-optimization

Created 2021-10-15

638 commits to main branch, last one 14 hours ago

bocoel rentruewang

18

271

bsd-3-clause

4

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.

llm evaluation benchmarking language-model machine-learning bayesian-optimization

Created 2023-12-16

248 commits to main branch, last one 3 days ago