Topic: bayesian-optimization Goto Github

👇 Here are 521 public repositories matching this topic...

aamini / chemprop
bayesian-optimization,Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
User: aamini
drug-discovery uncertainty molecule evidential-deep-learning chemistry active-learning bayesian-optimization virtual-screening neural-network

acerbilab / bads
bayesian-optimization,Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Organization: acerbilab
bayesian-optimization log-likelihood matlab noiseless-functions noisy-functions optimization-algorithms

aiworx-labs / chocolate
bayesian-optimization,A fully decentralized hyperparameter optimization framework
Organization: aiworx-labs
Home Page: http://chocolate.readthedocs.io
optimization hyperparameter-optimization parallelism cmaes bayesian-optimization conditional-search-space

akash13singh / lstm_anomaly_thesis
bayesian-optimization,Anomaly detection for temporal data using LSTMs
User: akash13singh
Home Page: http://kth.diva-portal.org/smash/record.jsf?pid=diva2%3A1149130&dswid=3326
anomaly-detection bayesian-optimization deep-learning lstm lstm-neural-networks neural-networks recurrent-neural-networks time-series

arm-software / mango
bayesian-optimization,Parallel Hyperparameter Tuning in Python
Organization: arm-software
hyperparameter-optimization blackbox-optimization hyperparameter-tuning parallel-computing machine-learning tuning-parameters sklearn-compatible scipy-compatible tensorflow-examples keras-examples

auto-flow / ultraopt
bayesian-optimization,Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
User: auto-flow
Home Page: https://auto-flow.github.io/ultraopt/zh/
hyperopt hyperparameter-optimization optimization automl blackbox-optimization multi-fidelity bayesian-optimization python machine-learning

automl / auto-sklearn
bayesian-optimization,Automated Machine Learning with scikit-learn
Organization: automl
Home Page: https://automl.github.io/auto-sklearn
automl scikit-learn automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search bayesian-optimization metalearning meta-learning smac

automl / hpbandster
bayesian-optimization,a distributed Hyperband implementation on Steroids
Organization: automl
bayesian-optimization hyperparameter-optimization neural-architecture-search automated-machine-learning automl

automl / hpobench
bayesian-optimization,Collection of hyperparameter optimization benchmark problems
Organization: automl
hyperparameter-optimization benchmarking bayesian-optimization benchmark containerized-benchmarks

automl / smac3
bayesian-optimization,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Organization: automl
Home Page: https://automl.github.io/SMAC3/v2.0.2/
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest

awslabs / syne-tune
bayesian-optimization,Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Organization: awslabs
Home Page: https://syne-tune.readthedocs.io
hyperparameter-optimization machine-learning multi-objective-optimization hyperparameter-tuning bayesian-optimization sagemaker neural-architecture-search

baggepinnen / hyperopt.jl
bayesian-optimization,Hyperparameter optimization in Julia.
User: baggepinnen
hyperparameter-optimization optimization parameter-tuning bayesian-optimization random-sampling global-optimization hyperband bohb

baptistar / bocs
bayesian-optimization,Bayesian Optimization of Combinatorial Structures
User: baptistar
Home Page: https://arxiv.org/abs/1806.08838
bayesian-optimization semidefinite-programming simulated-annealing statistical-models

bayesian-optimization / bayesianoptimization
bayesian-optimization,A Python implementation of global optimization with gaussian processes.
Organization: bayesian-optimization
Home Page: https://bayesian-optimization.github.io/BayesianOptimization/index.html
bayesian-optimization gaussian-processes optimization python simple

c-bata / goptuna
bayesian-optimization,A hyperparameter optimization framework, inspired by Optuna.
User: c-bata
Home Page: https://pkg.go.dev/github.com/c-bata/goptuna
bayesian-optimization bandit-algorithms evolution-strategies blackbox-optimization

chrisstroemel / simple
bayesian-optimization,Experimental Global Optimization Algorithm
User: chrisstroemel
hyperparameter-optimization global-optimization optimization bayesian-optimization blackbox-optimization

dme65 / pysot
bayesian-optimization,Surrogate Optimization Toolbox for Python
User: dme65
optimization asynchronous global-optimization global-optimization-algorithms bayesian-optimization surrogate-based-optimization surrogate-models radial-basis-function gaussian-processes black-box-optimization

emdgroup / baybe
bayesian-optimization,Bayesian Optimization and Design of Experiments
Organization: emdgroup
Home Page: https://emdgroup.github.io/baybe/
bayesian-optimization design-of-experiments machine-learning active-learning experimental-design optimization

emukit / emukit
bayesian-optimization,A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Organization: emukit
Home Page: https://emukit.github.io/emukit/
machine-learning bayesian-optimization uncertainty-quantification multi-fidelity experimental-design bayesian-quadrature sensitivity-analysis decision-making emulation python

experimental-design / bofire
bayesian-optimization,Experimental design and (multi-objective) bayesian optimization.
Organization: experimental-design
Home Page: https://experimental-design.github.io/bofire/
active-learning bayesian-optimization cheminformatics experimental-design multiobjective-optimization

gdikov / hypertunity
bayesian-optimization,A toolset for black-box hyperparameter optimisation.
User: gdikov
Home Page: https://hypertunity.readthedocs.io
hyperparameter-optimization bayesian-optimization gpyopt tensorboard slurm

google / vizier
bayesian-optimization,Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Organization: google
Home Page: https://oss-vizier.readthedocs.io
vizier hyperparameter-optimization tuning tuning-parameters blackbox-optimization hyperparameter-tuning bayesian-optimization evolutionary-algorithms distributed-systems distributed-computing

gpflow / gpflowopt
bayesian-optimization,Bayesian Optimization using GPflow
Organization: gpflow
gpflow bayesian-optimization machine-learning hyperparameter-optimization

gpstuff-dev / gpstuff
bayesian-optimization,GPstuff - Gaussian process models for Bayesian analysis
Organization: gpstuff-dev
Home Page: http://research.cs.aalto.fi/pml/software/gpstuff/
bayesian bayesian-inference bayesian-optimization classification covariance-functions expectation-propagation gaussian-processes mcmc octave regression spatial-analysis survival-analysis variational-inference

jbrea / bayesianoptimization.jl
bayesian-optimization,Bayesian optimization for Julia
User: jbrea
machine-learning optimization bayesian-methods bayesian-optimization gaussian-processes julia

julianonconvex / nonconvex.jl
bayesian-optimization,Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
Organization: julianonconvex
Home Page: https://julianonconvex.github.io/Nonconvex.jl/
augmented-lagrangian-method automatic-differentiation bayesian-optimization black-box-optimization derivative-free-optimization discrete-optimization evolutionary-algorithms global-optimization implicit-differentiation interior-point-optimizer

kirthevasank / nasbot
bayesian-optimization,Neural Architecture Search with Bayesian Optimisation and Optimal Transport
User: kirthevasank
bayesian-optimization neural-architecture-search optimal-transport gaussian-processes

krasserm / bayesian-machine-learning
bayesian-optimization,Notebooks about Bayesian methods for machine learning
User: krasserm
machine-learning bayesian-methods bayesian-machine-learning gaussian-processes bayesian-optimization variational-autoencoder

liyanghart / hyperparameter-optimization-of-machine-learning-algorithms
bayesian-optimization,Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
User: liyanghart
hyperparameter-optimization machine-learning-algorithms hyperparameter-tuning machine-learning tuning-parameters grid-search random-search optimization hpo bayesian-optimization

microsoft / nni
bayesian-optimization,An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Organization: microsoft
Home Page: https://nni.readthedocs.io
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

mind-lab / octis
bayesian-optimization,OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Organization: mind-lab
bayesian-optimization evaluation-metrics hyperparameter-optimization hyperparameter-search hyperparameter-tuning latent-dirichlet-allocation latent-semantic-analysis natural-language-processing neural-topic-models nlp nlp-library nlproc non-negative-matrix-factorization topic-modeling topic-models

mlr-org / mlrmbo
bayesian-optimization,Toolbox for Bayesian Optimization and Model-Based Optimization in R
Organization: mlr-org
Home Page: https://mlrmbo.mlr-org.com
model-based-optimization r r-package optimization mlr hyperparameter-optimization black-box-optimization bayesian-optimization mlrmbo

modal-python / modal
bayesian-optimization,A modular active learning framework for Python
Organization: modal-python
Home Page: https://modAL-python.github.io/
scikit-learn machine-learning python active-learning machine-learning-library machine-learning-algorithms machine-learning-api active-learning-module bayesian-optimization

probprog / bopp
bayesian-optimization,BOPP: Bayesian Optimization for Probabilistic Programs
Organization: probprog
probabilistic-programming bayesian-optimization bayesian-inference

ray-project / tune-sklearn
bayesian-optimization,A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Organization: ray-project
Home Page: https://docs.ray.io/en/master/tune/api_docs/sklearn.html
scikit-learn hyperparameter-tuning gridsearchcv bayesian-optimization automl

resibots / limbo
bayesian-optimization,A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
Organization: resibots
Home Page: http://www.resibots.eu/limbo
optimization-framework optimization-library bayesian-optimization gaussian-processes

s1dlx / sd-webui-bayesian-merger
bayesian-optimization,opinionated bayesian optimisation for stable diffusion models block merge
User: s1dlx
stable-diffusion stable-diffusion-webui bayesian-optimization stable-diffusion-library

samsinai / flexs
bayesian-optimization,Fitness landscape exploration sandbox for biological sequence design.
User: samsinai
Home Page: https://flexs.readthedocs.io/en/latest/index.html
machine-learning benchmarking protein-design deep-learning deep-reinforcement-learning computational-biology bayesian-optimization

scikit-optimize / scikit-optimize
bayesian-optimization,Sequential model-based optimization with a `scipy.optimize` interface
Organization: scikit-optimize
Home Page: https://scikit-optimize.github.io
bayesian-optimization bayesopt binder hacktoberfest hyperparameter hyperparameter-optimization hyperparameter-search hyperparameter-tuning machine-learning optimization scientific-computing scientific-visualization scikit-learn sequential-recommendation visualization

sherpa-ai / sherpa
bayesian-optimization,Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
User: sherpa-ai
Home Page: http://parameter-sherpa.readthedocs.io/
hyperparameter-optimization deep-learning bayesian-optimization keras hyperparameter-tuning hyperparameter-search hyperparameter-grid machine-learning machine-learning-library

simonblanke / gradient-free-optimizers
bayesian-optimization,Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
User: simonblanke
Home Page: https://simonblanke.github.io/gradient-free-optimizers-documentation
optimization gradient-free-optimization bayesian-optimization particle-swarm-optimization evolution-strategies simulated-annealing random-search hill-climbing meta-heuristic machine-learning

simonblanke / hyperactive
bayesian-optimization,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
User: simonblanke
Home Page: https://simonblanke.github.io/hyperactive-documentation
hyperparameter-optimization scikit-learn machine-learning python data-science parameter-tuning xgboost keras deep-learning bayesian-optimization

sustainable-processes / summit
bayesian-optimization,Optimising chemical reactions using machine learning
Organization: sustainable-processes
Home Page: https://gosummit.readthedocs.io/en/latest/
chemistry machine-learning optimization bayesian-optimization neural-networks drug-discovery tsemo snobfit nelder-mead self-optimization

uber / bayesmark
bayesian-optimization,Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
Organization: uber
bayesian-optimization benchmark-framework machine-learning sklearn

wangronin / bayesian-optimization
bayesian-optimization,Bayesian Optimization algorithms with various recent improvements
User: wangronin
acquisition-functions bayesian-optimization optimization

western-oc2-lab / intrusion-detection-system-using-machine-learning
bayesian-optimization,Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Organization: western-oc2-lab
machine-learning random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection

wujian16 / cornell-moe
bayesian-optimization,A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
User: wujian16
bayesian bayesian-optimization machine-learning gaussian-processes hyperparameter-optimization optimization

yunshengtian / autooed
bayesian-optimization,AutoOED: Automated Optimal Experimental Design Platform
User: yunshengtian
Home Page: https://autooed.org
optimal-experimental-design multi-objective bayesian-optimization open-source-software experiment-automation multi-objective-optimization pareto-optimality asynchronous

yunshengtian / dgemo
bayesian-optimization,[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
User: yunshengtian
multi-objective bayesian-optimization inverse-design

ziatdinovmax / gpax
bayesian-optimization,Gaussian Processes for Experimental Sciences
User: ziatdinovmax
Home Page: http://gpax.rtfd.io
gaussian-processes bayesian-inference machine-learning active-learning bayesian-optimization deep-kernel-learning hypothesis-learning bayesian-neural-networks multi-fidelity-learning