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The Wayback Machine - https://web.archive.org/web/20200725111436/https://github.com/topics/bayesian-optimization
Here are
187 public repositories
matching this topic...
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Updated
Jul 25, 2020
Python
Automated Machine Learning with scikit-learn
Updated
Jul 25, 2020
Python
A Python implementation of global optimization with gaussian processes.
Updated
Jul 13, 2020
Python
Sequential model-based optimization with a `scipy.optimize` interface
Updated
Jul 7, 2020
Python
Notebooks about Bayesian methods for machine learning
Updated
May 31, 2020
Jupyter Notebook
A modular active learning framework for Python
Updated
May 21, 2020
Python
Sequential Model-based Algorithm Configuration
Updated
Jul 24, 2020
Python
Experimental Global Optimization Algorithm
Updated
Jan 29, 2018
Python
a distributed Hyperband implementation on Steroids
Updated
Apr 30, 2020
Python
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Updated
Jul 16, 2020
JavaScript
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Updated
Jul 16, 2020
Python
Bayesian Optimization using GPflow
Updated
Jun 30, 2020
Python
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Anomaly detection for temporal data using LSTMs
Updated
Nov 27, 2018
Jupyter Notebook
Toolbox for Bayesian Optimization and Model-Based Optimization in R
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Updated
Sep 13, 2019
MATLAB
Distributed hyperparameter optimization framework, inspired by Optuna.
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)
A toolset for black-box hyperparameter optimisation.
Updated
Jan 26, 2020
Python
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Updated
Jan 28, 2019
Python
BOPP: Bayesian Optimization for Probabilistic Programs
Updated
Nov 9, 2017
Clojure
Surrogate Optimization Toolbox for Python
Updated
Jun 23, 2020
Jupyter Notebook
A fully decentralized hyperparameter optimization framework
Updated
Aug 7, 2019
Python
GPstuff - Gaussian process models for Bayesian analysis
Updated
May 12, 2020
MATLAB
Python library for Bayesian hyper-parameters optimization
Updated
Aug 28, 2018
Python
Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
Updated
Mar 20, 2018
Jupyter Notebook
Parallel Hyperparameter Optimization in Python
Updated
Jun 11, 2020
Jupyter Notebook
Phoenics: Bayesian optimization for efficient experiment planning
Updated
Jul 3, 2019
Python
Simple, but essential Bayesian optimization package
Updated
Jul 23, 2020
Python
Hyperparameter optimization in Julia.
Updated
Jul 3, 2020
Julia
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