bayesian-optimization

Open-source projects categorized as bayesian-optimization
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Language: + Python + Jupyter Notebook + Go
Topics: Machine Learning hyperparameter-optimization hyperparameter-tuning Python Optimization
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Top 22 bayesian-optimization Open-Source Projects

  • nni

    An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  • BayesianOptimization

    A Python implementation of global optimization with gaussian processes.

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  • auto-sklearn

    Automated Machine Learning with scikit-learn

  • modAL

    A modular active learning framework for Python

  • vizier

    Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

  • Gradient-Free-Optimizers

    Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

  • SMAC3

    SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • OCTIS

    OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

  • 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. (by EmuKit)

  • Hyperactive

    An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

    • Project mention: Hyperactive Version 4.5 Released | news.ycombinator.com | 2023-08-27

  • syne-tune

    Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

  • 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..)

  • mango

    Parallel Hyperparameter Tuning in Python (by ARM-software)

  • GPflowOpt

    Bayesian Optimization using GPflow

  • Goptuna

    A hyperparameter optimization framework, inspired by Optuna.

  • baybe

    Bayesian Optimization and Design of Experiments

    • Project mention: BayBE – A Bayesian Back End for Design of Experiments | news.ycombinator.com | 2023-12-06

  • sd-webui-bayesian-merger

    opinionated bayesian optimisation for stable diffusion models block merge

    • Project mention: Questions regarding SDXL architecture | /r/StableDiffusion | 2023-07-07

    As context, for a while now I've been looking into improving current automated model merging methods(and some other stuff, gonna present something nice in a few months when I get to finishing it). It's practically a 26 dimensional stochastic black box optimization problem and that was kind of fine so far (shoutout to https://github.com/s1dlx/sd-webui-bayesian-merger and all the work people put there, especially the author).

  • DIgging

    Decision Intelligence for digging best parameters in target environment.

  • pybads

    PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python

    • Project mention: [Project] Prototype - (Auto) Codebase to Video for a given perspective. Test case: Pybads and Project Management | /r/MachineLearning | 2023-06-29

    A video created by an app built on top of the BabyDragon package(still in dev) - it is still in the very early stages of development and the pipeline is currently a bit janky but I would love to hear any feedback/suggestions even if it is just nitpicking. Thank you. Source Code for test repo: https://github.com/acerbilab/pybads

  • Spotify_Song_Recommender

    This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

  • ExpensiveOptimBenchmark

    Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions

  • Bayesian-Optimization-in-FSharp

    Bayesian Optimization via Gaussian Processes in F#

  • SaaSHub

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

bayesian-optimization related posts

Index

What are some of the best open-source bayesian-optimization projects? This list will help you:

Project Stars
1 nni 13,726
2 BayesianOptimization 7,481
3 auto-sklearn 7,394
4 modAL 2,137
5 vizier 1,171
6 Gradient-Free-Optimizers 1,101
7 SMAC3 1,003
8 OCTIS 681
9 emukit 564
10 Hyperactive 487
11 syne-tune 363
12 Intrusion-Detection-System-Using-Machine-Learning 320
13 mango 310
14 GPflowOpt 263
15 Goptuna 250
16 baybe 174
17 sd-webui-bayesian-merger 117
18 DIgging 81
19 pybads 58
20 Spotify_Song_Recommender 28
21 ExpensiveOptimBenchmark 19
22 Bayesian-Optimization-in-FSharp 5

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