70 results found Sort:

microsoft
nni microsoft
1.8k
14.1k
mit
284
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
nas mlops automl python pytorch tensorflow distributed data-science deep-learning neural-network machine-learning model-compression deep-neural-network feature-engineering bayesian-optimization hyperparameter-tuning automated-machine-learning neural-architecture-search hyperparameter-optimization machine-learning-algorithms
This repository has been archived (exclude archived)
Created 2018-06-01
3,012 commits to master branch, last one about a year ago
bayesian-optimization
BayesianOptimization bayesian-optimization
1.5k
8.0k
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 about a month ago
automl
auto-sklearn automl
1.3k
7.7k
bsd-3-clause
214
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 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This repository has been archived (exclude archived)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-python
modAL modAL-python
324
2.2k
mit
45
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
krasserm
bayesian-machine-learning krasserm
463
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 9 months ago
google
vizier google
97
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
1,152 commits to main branch, last one 23 hours ago
LiYangHart
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)
hpo knn svm hyperband grid-search optimization deep-learning random-forest random-search python-samples python-examples machine-learning genetic-algorithm tuning-parameters bayesian-optimization hyperparameter-tuning artificial-neural-networks hyperparameter-optimization machine-learning-algorithms particle-swarm-optimization
Created 2020-07-23
40 commits to master branch, last one 2 years ago
SimonBlanke
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
884 commits to master branch, last one 13 days ago
automl
SMAC3 automl
227
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 4 months ago
MIND-Lab
OCTIS MIND-Lab
106
734
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 4 months ago
automl
HpBandSter automl
109
611
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 EmuKit
128
605
apache-2.0
16
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 2 months ago
SimonBlanke
Hyperactive SimonBlanke
42
514
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
2,383 commits to master branch, last one 20 days ago
ray-project
tune-sklearn ray-project
51
467
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
Western-OC2-Lab
Intrusion-Detection-System-Using-Machine-Learning Western-OC2-Lab
113
425
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
ARM-software
mango ARM-software
47
401
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 3 months ago
syne-tune
syne-tune syne-tune
51
393
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
643 commits to main branch, last one a day ago
emdgroup
baybe emdgroup
45
275
apache-2.0
9
Bayesian Optimization and Design of Experiments
optimization active-learning machine-learning experimental-design bayesian-optimization design-of-experiments
Created 2023-11-27
4,235 commits to main branch, last one 6 days ago
rentruewang
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
259 commits to main branch, last one 4 days ago
c-bata
goptuna c-bata
22
262
mit
10
A hyperparameter optimization framework, inspired by Optuna.
bandit-algorithms evolution-strategies bayesian-optimization blackbox-optimization
Created 2019-07-24
798 commits to main branch, last one 5 months ago
acerbilab
bads acerbilab
38
246
gpl-3.0
15
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
matlab log-likelihood noisy-functions noiseless-functions bayesian-optimization optimization-algorithms
Created 2017-03-14
184 commits to master branch, last one 2 years ago
resibots
limbo resibots
52
243
other
34
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
gaussian-processes optimization-library bayesian-optimization optimization-framework
Created 2014-07-21
1,537 commits to master branch, last one about a year ago
experimental-design
bofire experimental-design
23
236
bsd-3-clause
7
Experimental design and (multi-objective) bayesian optimization.
active-learning cheminformatics experimental-design bayesian-optimization multiobjective-optimization
Created 2022-10-31
488 commits to main branch, last one 5 days ago
akash13singh
lstm_anomaly_thesis akash13singh
87
224
mit
17
Anomaly detection for temporal data using LSTMs
lstm time-series deep-learning neural-networks anomaly-detection lstm-neural-networks bayesian-optimization recurrent-neural-networks
Created 2017-05-01
59 commits to master branch, last one 3 years ago
ziatdinovmax
gpax ziatdinovmax
28
214
mit
7
Gaussian Processes for Experimental Sciences
active-learning machine-learning bayesian-inference gaussian-processes hypothesis-learning deep-kernel-learning bayesian-optimization multi-fidelity-learning bayesian-neural-networks
Created 2021-10-28
787 commits to main branch, last one 6 months ago
dme65
pySOT dme65
53
205
other
22
Surrogate Optimization Toolbox for Python
asynchronous optimization surrogate-models gaussian-processes global-optimization bayesian-optimization radial-basis-function black-box-optimization surrogate-based-optimization global-optimization-algorithms
Created 2015-06-03
321 commits to master branch, last one 3 years ago
baggepinnen
Hyperopt.jl baggepinnen
20
200
other
7
Hyperparameter optimization in Julia.
bohb hyperband optimization random-sampling parameter-tuning global-optimization bayesian-optimization hyperparameter-optimization
Created 2018-08-04
189 commits to master branch, last one about a year ago
mlr-org
mlrMBO mlr-org
47
187
other
31
Toolbox for Bayesian Optimization and Model-Based Optimization in R
r mlr mlrmbo r-package optimization bayesian-optimization black-box-optimization model-based-optimization hyperparameter-optimization
Created 2013-10-23
1,648 commits to main branch, last one 2 years ago
gpstuff-dev
gpstuff gpstuff-dev
61
170
gpl-3.0
23
GPstuff - Gaussian process models for Bayesian analysis
mcmc octave bayesian regression classification spatial-analysis survival-analysis bayesian-inference gaussian-processes covariance-functions bayesian-optimization variational-inference expectation-propagation
Created 2014-08-28
2,094 commits to develop branch, last one about a year ago