The Wayback Machine - https://web.archive.org/web/20220624090745/https://github.com/topics/black-box-optimization
Here are
52 public repositories
matching this topic...
Toolbox for Bayesian Optimization and Model-Based Optimization in R
Surrogate Optimization Toolbox for Python
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Oct 27, 2021
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Jupyter Notebook
Yet another black-box optimization library for Python
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Jun 1, 2020
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Jupyter Notebook
ICML'2022: Black-Box Tuning for Language-Model-as-a-Service
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Jun 11, 2022
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Python
A black-box optimization benchmark tool
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
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Jun 19, 2020
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MATLAB
plug-n-play black box optimizer for high-throughput computing
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Jun 23, 2022
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Python
Simplicial Homology Global Optimization
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May 4, 2021
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Python
Multiobjective black-box optimization using gradient-boosted trees
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Apr 30, 2022
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Python
Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)
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Nov 14, 2020
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Python
Workbench for practical machine learning in Ruby.
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Mar 1, 2020
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Jupyter Notebook
A Python easy implementation of the Nelder-Mead method
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Feb 2, 2018
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Python
A TPE (Tree-structured Parzen Estimator) implementation in Rust
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Jan 10, 2022
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Rust
Black-Box Optimization Toolkit for mlr3
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Oct 26, 2021
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Python
PyPop7: A Pure-PYthon library of POPulation-based OPtimization for continuous black-box problems.
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Jun 24, 2022
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Python
DEFT-FUNNEL: An open-source global optimization solver for constrained grey-box and black-box problems in Matlab.
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Jun 29, 2021
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MATLAB
A collection of Black-Box Optimization algorithms for Rust
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Feb 28, 2021
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Rust
A Python library to help implement kurobako's solvers and problems
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Apr 13, 2022
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Python
A Golang library to help implement kurobako's solvers and problems
Python implementation of Mercer Features for Efficient Combinatorial Bayesian Optimization
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Jun 14, 2021
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Python
Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation on C#
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Jul 14, 2018
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Jupyter Notebook
Black-Box optimization of a rotor's shape using Projected Gradient Descent
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Mar 29, 2019
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Python
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
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Nov 25, 2021
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Python
The CC-D-DGDG-PSO algorithm for solving large scale unconstrained black-box optimization problems with divide-and-conquer strategy.
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Jun 30, 2018
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MATLAB
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Jun 1, 2021
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Python
Code repository of Embedded Bandits for Large-Scale Black-Box Optimization (AAAI'17)
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Oct 15, 2017
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Jupyter Notebook
Build fair and safe Machine Learning models in Python
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Oct 30, 2021
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Jupyter Notebook
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