Python bayesian-optimization

Open-source Python projects categorized as bayesian-optimization
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Topics: hyperparameter-optimization Machine Learning hyperparameter-tuning Optimization Python
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Top 17 Python bayesian-optimization 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.

  • WorkOS

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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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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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.

  • GPflowOpt

    Bayesian Optimization using GPflow

  • 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

  • ExpensiveOptimBenchmark

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

  • 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).

Python bayesian-optimization related posts

Index

What are some of the best open-source bayesian-optimization projects in Python? 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 GPflowOpt 263
13 baybe 174
14 sd-webui-bayesian-merger 117
15 DIgging 81
16 pybads 58
17 ExpensiveOptimBenchmark 19

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