bayesian-optimization

There are 31 repositories under bayesian-optimization topic.

nni
microsoft / nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
automl deep-learning neural-architecture-search hyperparameter-optimization distributed bayesian-optimization automated-machine-learning machine-learning machine-learning-algorithms data-science tensorflow pytorch neural-network deep-neural-network model-compression feature-engineering nas python feature-extraction hyperparameter-tuning
Language:Python 11655
automl / auto-sklearn
Automated Machine Learning with scikit-learn
automl scikit-learn automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search bayesian-optimization metalearning meta-learning smac
Language:Python 6361
fmfn / BayesianOptimization
A Python implementation of global optimization with gaussian processes.
bayesian-optimization gaussian-processes optimization python simple
Language:Python 6076
scikit-optimize / scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
bayesian-optimization bayesopt binder hacktoberfest hyperparameter hyperparameter-optimization hyperparameter-search hyperparameter-tuning machine-learning optimization scientific-computing scientific-visualization scikit-learn sequential-recommendation visualization
Language:Python 2358
modAL-python / modAL
A modular active learning framework for Python
active-learning active-learning-module bayesian-optimization machine-learning machine-learning-algorithms machine-learning-api machine-learning-library python scikit-learn
Language:Python 1747
krasserm / bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
bayesian-machine-learning bayesian-methods bayesian-optimization gaussian-processes machine-learning variational-autoencoder
Language:Jupyter Notebook 1448
LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
hyperparameter-optimization machine-learning-algorithms hyperparameter-tuning machine-learning tuning-parameters grid-search random-search optimization hpo bayesian-optimization genetic-algorithm particle-swarm-optimization hyperband random-forest knn svm python-examples python-samples deep-learning artificial-neural-networks
Language:Jupyter Notebook 954
Gradient-Free-Optimizers
SimonBlanke / Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
bayesian-optimization blackbox-optimization constrained-optimization evolution-strategies gradient-free-optimization hill-climbing hyperactive hyperparameter-optimization machine-learning meta-heuristic nelder-mead optimization particle-swarm-optimization random-search simulated-annealing tree-of-parzen-estimator
Language:Python 888
SMAC3
automl / SMAC3
Sequential Model-based Algorithm Configuration
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest gaussian-process
Language:Python 704
automl / HpBandSter
a distributed Hyperband implementation on Steroids
bayesian-optimization hyperparameter-optimization neural-architecture-search automated-machine-learning automl
Language:Python 541
chrisstroemel / Simple
Experimental Global Optimization Algorithm
hyperparameter-optimization global-optimization optimization bayesian-optimization blackbox-optimization
Language:Python 461
EmuKit / emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
machine-learning bayesian-optimization uncertainty-quantification multi-fidelity experimental-design bayesian-quadrature sensitivity-analysis decision-making emulation python
Language:Python 433
Hyperactive
SimonBlanke / Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
hyperparameter-optimization scikit-learn machine-learning meta-heuristics python data-science parameter-tuning xgboost keras deep-learning bayesian-optimization parallel-computing neural-architecture-search automated-machine-learning optimization pytorch feature-engineering hyperactive
Language:Python 403
ray-project / tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
scikit-learn hyperparameter-tuning gridsearchcv bayesian-optimization automl
Language:Python 391
OCTIS
MIND-Lab / OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
topic-modeling latent-dirichlet-allocation latent-semantic-analysis evaluation-metrics natural-language-processing non-negative-matrix-factorization neural-topic-models bayesian-optimization hyperparameter-optimization hyperparameter-tuning hyperparameter-search topic-models nlp nlproc nlp-library
Language:Python 384
sherpa
sherpa-ai / sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
hyperparameter-optimization deep-learning bayesian-optimization keras hyperparameter-tuning hyperparameter-search hyperparameter-grid machine-learning machine-learning-library
Language:JavaScript 311
GPflow / GPflowOpt
Bayesian Optimization using GPflow
gpflow bayesian-optimization machine-learning hyperparameter-optimization
Language:Python 251
wujian16 / Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
bayesian bayesian-optimization machine-learning gaussian-processes hyperparameter-optimization optimization
Language:C++ 228
c-bata / goptuna
A hyperparameter optimization framework, inspired by Optuna.
bayesian-optimization bandit-algorithms evolution-strategies blackbox-optimization
Language:Go 214
akash13singh / lstm_anomaly_thesis
Anomaly detection for temporal data using LSTMs
lstm anomaly-detection bayesian-optimization time-series recurrent-neural-networks deep-learning lstm-neural-networks neural-networks
Language:Jupyter Notebook 210
resibots / limbo
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)
optimization-framework optimization-library bayesian-optimization gaussian-processes
Language:C++ 194
lacerbi / bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
optimization-algorithms bayesian-optimization log-likelihood noiseless-functions noisy-functions matlab
Language:MATLAB 191
PKU-DAIR / open-box
Generalized and Efficient Blackbox Optimization System [SIGKDD'21].
blackbox-optimization bayesian-optimization constrained-optimization multi-objective-optimization hyper-parameter-optimization automatic-machine-learning distributed-systems saas
Language:Python 188
mlr-org / mlrMBO
Toolbox for Bayesian Optimization and Model-Based Optimization in R
model-based-optimization r r-package optimization mlr hyperparameter-optimization black-box-optimization bayesian-optimization mlrmbo
Language:R 177
dme65 / pySOT
Surrogate Optimization Toolbox for Python
optimization asynchronous global-optimization global-optimization-algorithms bayesian-optimization surrogate-based-optimization surrogate-models radial-basis-function gaussian-processes black-box-optimization
Language:Jupyter Notebook 172
baggepinnen / Hyperopt.jl
Hyperparameter optimization in Julia.
hyperparameter-optimization optimization parameter-tuning bayesian-optimization random-sampling global-optimization hyperband bohb
Language:Julia 152
gpstuff-dev / gpstuff
GPstuff - Gaussian process models for Bayesian analysis
bayesian gaussian-processes bayesian-inference bayesian-optimization classification regression survival-analysis spatial-analysis covariance-functions expectation-propagation variational-inference mcmc octave
Language:MATLAB 134
awslabs / syne-tune
Large scale and asynchronous Hyperparameter Optimization at your fingertip.
bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning multi-objective-optimization neural-architecture-search sagemaker
Language:Python 126
ARM-software / mango
Parallel Hyperparameter Tuning in Python
hyperparameter-optimization blackbox-optimization hyperparameter-tuning parallel-computing machine-learning tuning-parameters sklearn-compatible scipy-compatible tensorflow-examples keras-examples pytorch-compatible bayesian-optimization gaussian-processes kubernetes-deployment cluster-deployment production-system neural-network neural-networks
Language:Jupyter Notebook 125
gdikov / hypertunity
A toolset for black-box hyperparameter optimisation.
hyperparameter-optimization bayesian-optimization gpyopt tensorboard slurm
Language:Python 123
kirthevasank / nasbot
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
bayesian-optimization neural-architecture-search optimal-transport gaussian-processes
Language:Python 122
AIworx-Labs / chocolate
A fully decentralized hyperparameter optimization framework
optimization hyperparameter-optimization parallelism cmaes bayesian-optimization conditional-search-space
Language:Python 118
probprog / bopp
BOPP: Bayesian Optimization for Probabilistic Programs
bayesian-inference bayesian-optimization probabilistic-programming
Language:Clojure 114
uber / bayesmark
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
bayesian-optimization benchmark-framework machine-learning sklearn
Language:Python 105
FLEXS
samsinai / FLEXS
Fitness landscape exploration sandbox for biological sequence design.
machine-learning benchmarking protein-design deep-learning deep-reinforcement-learning computational-biology bayesian-optimization
Language:Jupyter Notebook 97
AutoOED
yunshengtian / AutoOED
AutoOED: Automated Optimal Experimental Design Platform
optimal-experimental-design multi-objective bayesian-optimization open-source-software experiment-automation multi-objective-optimization pareto-optimality asynchronous
Language:Python 97

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