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Projects in Awesome Lists tagged with bayesian-optimization
A curated list of projects in awesome lists tagged with bayesian-optimization .
https://github.com/microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow
Last synced: 29 Sep 2024
https://github.com/Microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow
Last synced: 01 Aug 2024
https://github.com/automl/auto-sklearn
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Last synced: 29 Sep 2024
https://github.com/bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
bayesian-optimization gaussian-processes optimization python simple
Last synced: 01 Aug 2024
https://github.com/fmfn/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
bayesian-optimization gaussian-processes optimization python simple
Last synced: 08 Aug 2024
https://github.com/bayesian-optimization/bayesianoptimization
A Python implementation of global optimization with gaussian processes.
bayesian-optimization gaussian-processes optimization python simple
Last synced: 29 Sep 2024
https://github.com/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
Last synced: 26 Sep 2024
https://github.com/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
Last synced: 31 Jul 2024
https://github.com/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
Last synced: 26 Sep 2024
https://github.com/krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
bayesian-machine-learning bayesian-methods bayesian-optimization gaussian-processes machine-learning variational-autoencoder
Last synced: 03 Oct 2024
https://github.com/google/vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
algorithm bayesian-optimization blackbox-optimization deep-learning distributed-computing distributed-systems evolutionary-algorithms google grpc hyperparameter-optimization hyperparameter-tuning machine-learning open-source optimization tuning tuning-parameters vizier
Last synced: 29 Sep 2024
https://github.com/liyanghart/hyperparameter-optimization-of-machine-learning-algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
artificial-neural-networks bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperband hyperparameter-optimization hyperparameter-tuning knn machine-learning machine-learning-algorithms optimization particle-swarm-optimization python-examples python-samples random-forest random-search svm tuning-parameters
Last synced: 30 Sep 2024
https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
artificial-neural-networks bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperband hyperparameter-optimization hyperparameter-tuning knn machine-learning machine-learning-algorithms optimization particle-swarm-optimization python-examples python-samples random-forest random-search svm tuning-parameters
Last synced: 02 Aug 2024
https://github.com/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
Last synced: 01 Aug 2024
https://github.com/automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
algorithm-configuration automated-machine-learning automl bayesian-optimisation bayesian-optimization configuration gaussian-process hyperparameter-optimization hyperparameter-search hyperparameter-tuning random-forest
Last synced: 01 Aug 2024
https://github.com/MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
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
Last synced: 02 Aug 2024
https://github.com/automl/HpBandSter
a distributed Hyperband implementation on Steroids
automated-machine-learning automl bayesian-optimization hyperparameter-optimization neural-architecture-search
Last synced: 01 Aug 2024
https://github.com/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.
bayesian-optimization bayesian-quadrature decision-making emulation experimental-design machine-learning multi-fidelity python sensitivity-analysis uncertainty-quantification
Last synced: 01 Aug 2024
https://github.com/SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost
Last synced: 01 Aug 2024
https://github.com/ray-project/tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
automl bayesian-optimization gridsearchcv hyperparameter-tuning scikit-learn
Last synced: 27 Sep 2024
https://github.com/syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning multi-objective-optimization neural-architecture-search sagemaker
Last synced: 01 Aug 2024
https://github.com/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..)
autonomous-vehicles bayesian-optimization catboost cicids2017 cyber-security decision-tree ensemble-learning hpo hyperparameter-optimization intrusion-detection intrusion-detection-system kmeans lightgbm machine-learning network-security python-examples random-forest stacking xgboost
Last synced: 08 Aug 2024
https://github.com/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
Last synced: 01 Aug 2024
https://github.com/arm-software/mango
Parallel Hyperparameter Tuning in Python
bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters
Last synced: 26 Sep 2024
https://github.com/sherpa-ai/sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
bayesian-optimization deep-learning hyperparameter-grid hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras machine-learning machine-learning-library
Last synced: 30 Sep 2024
https://github.com/ARM-software/mango
Parallel Hyperparameter Tuning in Python
bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters
Last synced: 02 Aug 2024
https://github.com/rentruewang/bocoel
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.
bayesian-optimization benchmarking evaluation language-model llm machine-learning
Last synced: 01 Aug 2024
https://github.com/c-bata/goptuna
A hyperparameter optimization framework, inspired by Optuna.
bandit-algorithms bayesian-optimization blackbox-optimization evolution-strategies
Last synced: 30 Jul 2024
https://github.com/wujian16/Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
bayesian bayesian-optimization gaussian-processes hyperparameter-optimization machine-learning optimization
Last synced: 02 Aug 2024
https://github.com/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
Last synced: 01 Aug 2024
https://github.com/baggepinnen/Hyperopt.jl
Hyperparameter optimization in Julia.
bayesian-optimization bohb global-optimization hyperband hyperparameter-optimization optimization parameter-tuning random-sampling
Last synced: 31 Jul 2024
https://github.com/ziatdinovmax/gpax
Gaussian Processes for Experimental Sciences
active-learning bayesian-inference bayesian-neural-networks bayesian-optimization deep-kernel-learning gaussian-processes hypothesis-learning machine-learning multi-fidelity-learning
Last synced: 01 Aug 2024
https://github.com/emdgroup/baybe
Bayesian Optimization and Design of Experiments
active-learning bayesian-optimization design-of-experiments experimental-design machine-learning optimization
Last synced: 01 Aug 2024
https://github.com/uber/bayesmark
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
bayesian-optimization benchmark-framework machine-learning sklearn
Last synced: 26 Sep 2024
https://github.com/gdikov/hypertunity
A toolset for black-box hyperparameter optimisation.
bayesian-optimization gpyopt hyperparameter-optimization slurm tensorboard
Last synced: 01 Aug 2024
https://github.com/automl/HPOBench
Collection of hyperparameter optimization benchmark problems
bayesian-optimization benchmark benchmarking containerized-benchmarks hyperparameter-optimization
Last synced: 01 Aug 2024
https://github.com/AIworx-Labs/chocolate
A fully decentralized hyperparameter optimization framework
bayesian-optimization cmaes conditional-search-space hyperparameter-optimization optimization parallelism
Last synced: 03 Aug 2024
https://github.com/sustainable-processes/summit
Optimising chemical reactions using machine learning
bayesian-optimization chemistry drug-discovery machine-learning nelder-mead neural-networks optimization self-optimization snobfit tsemo
Last synced: 01 Aug 2024
https://github.com/JuliaNonconvex/Nonconvex.jl
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
augmented-lagrangian-method automatic-differentiation bayesian-optimization black-box-optimization derivative-free-optimization discrete-optimization evolutionary-algorithms global-optimization gradient-based-optimisation implicit-differentiation interior-point-optimizer metaheuristics method-of-moving-asymptotes mixed-integer-nonlinear-programming nonlinear-optimization nonlinear-programming optimization semidefinite-programming surrogate-assisted-optimization
Last synced: 02 Aug 2024
https://github.com/aamini/chemprop
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
active-learning bayesian-optimization chemistry drug-discovery evidential-deep-learning molecule neural-network uncertainty virtual-screening
Last synced: 26 Sep 2024
https://github.com/aspuru-guzik-group/phoenics
Phoenics: Bayesian optimization for efficient experiment planning
bayesian-optimization experiment-planning phoenics self-driving-laboratories
Last synced: 01 Aug 2024
https://github.com/alonfnt/bayex
Minimal Implementation of Bayesian Optimization in JAX
automatic-differentiation bayesian-optimization gaussian-process-regression jax python
Last synced: 04 Aug 2024
https://github.com/janosh/matbench-discovery
An evaluation framework for machine learning models simulating high-throughput materials discovery.
bayesian-optimization convex-hull high-throughput-search interatomic-potential machine-learning materials-discovery
Last synced: 02 Aug 2024
https://github.com/issp-center-dev/PHYSBO
PHYSBO -- optimization tools for PHYsics based on Bayesian Optimization
Last synced: 01 Aug 2024
https://github.com/sparks-baird/self-driving-lab-demo
Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive design algorithm, as well as extensions to liquid- and solid-based color matching demos.
adaptive-design as7341 automation bayesian-optimization circuitpython closed-loop internet-of-laboratory-things machine-learning materials-informatics materials-science micropython neopixel optics pico-w pico-wireless python raspberry-pi rpi-pico self-driving-lab smart-lab
Last synced: 26 Sep 2024
https://github.com/ziatdinovmax/GPim
Gaussian processes and Bayesian optimization for images and hyperspectral data
bayesian-optimization colab-notebook gaussian-processes hyperspectral-images image-processing lattice-models microscopy
Last synced: 03 Aug 2024
https://github.com/dc-aichara/DS-ML-Public
Python Scripts and Jupyter Notebooks
bayesian-optimization beautifulsoup bitcoin catboost dash dashboard data-analysis data-mining data-science data-visualisation hyperparameter-tuning hyperparameters-optimization lightgbm machine-learning news plotly python telegram web-scraping xgboost
Last synced: 03 Aug 2024
https://github.com/PKU-DAIR/mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
automl-algorithms automl-pipeline bayesian-optimization blackbox-optimization data-science deep-learning distributed-systems ensemble-learning hyper-parameter-optimization knobs-tuning machine-learning meta-learning neural-architecture-search python
Last synced: 03 Aug 2024
https://github.com/wildtreetech/bayesian-optimisation
Finding the best parameters for any algorithm
bayesian-optimization ipynb notebook regression
Last synced: 27 Sep 2024
https://github.com/sparks-baird/mat_discover
A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.
adaptive-design bayesian-optimization crabnet earth-mover-distance earth-movers-distance machine-learning matdiscover materials-discoveries materials-discovery materials-informatics materials-project materials-science materials-screening numba predict-materials-properties python pytorch wasserstein wasserstein-distance wasserstein-metric
Last synced: 29 Sep 2024
https://github.com/yard1/hpbandster-sklearn
A scikit-learn wrapper for HpBandSter hyper parameter search.
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning python scikit-learn sklearn
Last synced: 02 Oct 2024
https://github.com/MindSetLib/Insolver
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
auto-ml automated-machine-learning automl bayesian-optimization data-science elyra elyra-community feature-engineering hyperparameter-optimization insurance insurance-claims insurance-company insurance-scoring insurance-team low-code machine-learning
Last synced: 08 Aug 2024
https://github.com/aurelienmorgan/abnormal_vibrations_watchdog
Time Series Anomaly detection. The monitored signal is made-up of machinery vibration sensor measurements.
anomaly-detection autoencoder bayesian-optimization data-pipeline etl jupyter-notebook keras lstm mongo-db pyspark python rnn tensorflow time-series
Last synced: 26 Sep 2024
https://github.com/genfifth/cvopt
Machine learning's parameter search and feature selection module which is integrated log management and visualization.
bayesian-optimization deep-learning feature-selection hyperopt hyperparameter-optimization integrated-visualization keras logmanagement machine-learning python scikit-learn
Last synced: 29 Sep 2024
https://github.com/lai-bluejay/diego
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automated learning tasks. Simply create an automated learning study (Study) and generate correlated trials (Trial). Then run the code and get a machine learning model. Implemented using Scikit-learn API glossary, using Bayesian optimization and genetic algorithms for automated machine learning. Inspired by [Fast.ai](https://github.com/fastai/fastai).
automl autosklearn bayesian-optimization generation-algorithms hyperparameter-optimization machine-learning scikit-learn
Last synced: 30 Sep 2024
https://github.com/tupui/batman
batman, uncertainty quantification made easy. Any solver, non intrusive.
bayesian-optimization optimization python sensitivity-analysis uncertainty
Last synced: 01 Oct 2024
https://github.com/davidgeorgewilliams/sushinference-bayes
Dive into the flavorful world of probabilistic sushi recommendations with SushiNference-Bayes! This innovative C# project leverages Bayesian inference and the Infer.NET library to predict and model sushi preferences, serving up a delicious blend of machine learning and culinary science.
bayes-classifier bayesian-data-analysis bayesian-inference bayesian-methods bayesian-networks bayesian-optimization c-sharp c-sharp-8 dotnet dotnet-framework sushi
Last synced: 29 Sep 2024
