bayesian-optimization

There are 41 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 hyperparameter-tuning mlops
Language:Python 13726
bayesian-optimization / BayesianOptimization
A Python implementation of global optimization with gaussian processes.
optimization gaussian-processes bayesian-optimization python simple
Language:Python 7468
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 7394
scikit-optimize / scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
bayesopt optimization scientific-computing machine-learning hyperparameter bayesian-optimization binder scikit-learn hyperparameter-optimization hyperparameter-tuning hyperparameter-search sequential-recommendation hacktoberfest scientific-visualization visualization
Language:Python 2727
modAL-python / modAL
A modular active learning framework for Python
scikit-learn machine-learning python active-learning machine-learning-library machine-learning-algorithms machine-learning-api active-learning-module bayesian-optimization
Language:Python 2137
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 1748
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 1246
google / vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
vizier hyperparameter-optimization tuning tuning-parameters blackbox-optimization hyperparameter-tuning bayesian-optimization evolutionary-algorithms distributed-systems distributed-computing grpc open-source google algorithm deep-learning machine-learning optimization
Language:Python 1171
Gradient-Free-Optimizers
SimonBlanke / Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
optimization gradient-free-optimization bayesian-optimization particle-swarm-optimization evolution-strategies simulated-annealing random-search hill-climbing meta-heuristic machine-learning tree-of-parzen-estimator hyperparameter-optimization blackbox-optimization constrained-optimization nelder-mead hyperactive
Language:Python 1101
SMAC3
automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest gaussian-process
Language:Python 1003
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 681
automl / HpBandSter
a distributed Hyperband implementation on Steroids
bayesian-optimization hyperparameter-optimization neural-architecture-search automated-machine-learning automl
Language:Python 602
EmuKit / emukit
A Python-based toolbox of various methods in decision making, 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 564
Hyperactive
SimonBlanke / Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
hyperparameter-optimization scikit-learn machine-learning python data-science parameter-tuning xgboost keras deep-learning bayesian-optimization parallel-computing neural-architecture-search automated-machine-learning optimization pytorch feature-engineering hyperactive model-selection
Language:Python 487
chrisstroemel / Simple
Experimental Global Optimization Algorithm
bayesian-optimization blackbox-optimization global-optimization hyperparameter-optimization optimization
Language:Python 477
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 464
awslabs / syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
hyperparameter-optimization machine-learning multi-objective-optimization hyperparameter-tuning bayesian-optimization sagemaker neural-architecture-search
Language:Python 363
PKU-DAIR / open-box
Generalized and Efficient Blackbox Optimization System
automatic-machine-learning bayesian-optimization blackbox-optimization constrained-optimization distributed-systems hyper-parameter-optimization multi-objective-optimization saas
Language:Python 336
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 329
Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
machine-learning random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection intrusion-detection-system autonomous-vehicles cyber-security network-security stacking cicids2017 catboost ensemble-learning lightgbm
Language:Jupyter Notebook 319
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 310
GPflow / GPflowOpt
Bayesian Optimization using GPflow
bayesian-optimization gpflow hyperparameter-optimization machine-learning
Language:Python 264
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++ 254
c-bata / goptuna
A hyperparameter optimization framework, inspired by Optuna.
bayesian-optimization bandit-algorithms evolution-strategies blackbox-optimization
Language:Go 250
acerbilab / bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
bayesian-optimization log-likelihood matlab noiseless-functions noisy-functions optimization-algorithms
Language:MATLAB 234
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++ 229
akash13singh / lstm_anomaly_thesis
Anomaly detection for temporal data using LSTMs
anomaly-detection bayesian-optimization deep-learning lstm lstm-neural-networks neural-networks recurrent-neural-networks time-series
Language:Jupyter Notebook 223
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 202
baggepinnen / Hyperopt.jl
Hyperparameter optimization in Julia.
hyperparameter-optimization optimization parameter-tuning bayesian-optimization random-sampling global-optimization hyperband bohb
Language:Julia 198
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 185
gpax
ziatdinovmax / gpax
Gaussian Processes for Experimental Sciences
gaussian-processes bayesian-inference machine-learning active-learning bayesian-optimization deep-kernel-learning hypothesis-learning bayesian-neural-networks multi-fidelity-learning
Language:Python 179
emdgroup / baybe
Bayesian Optimization and Design of Experiments
bayesian-optimization design-of-experiments machine-learning active-learning experimental-design optimization
Language:Python 175
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 165
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 139
gdikov / hypertunity
A toolset for black-box hyperparameter optimisation.
hyperparameter-optimization bayesian-optimization gpyopt tensorboard slurm
Language:Python 136
kirthevasank / nasbot
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
bayesian-optimization neural-architecture-search optimal-transport gaussian-processes
Language:Python 131