A package for automatic tuning of OpenMP thread team size
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Updated
Jan 23, 2025 - Python
A package for automatic tuning of OpenMP thread team size
Repository for scalable neural network-based blackbox optimization algorithm
Python implementation of the Active-Set (1+1)-ES
Library for global optimization of multiextremal nondifferentiable functions.
Python implementation of Regulated Evolution Strategies with Covariance Matrix Adaption for continuous "Black-Box" optimization problems.
Experiments related to black box optimization using optilab.
Black-Box Optimization in Python
A constraint optimizer based intended for noisy black-box functions
A tool to visualize multi-dimensional data.
Python framework for black-box optimization.
Based on the paper RED-Attack: Resource Efficient Decision-based Imperceptible Attack for Machine Learning https://arxiv.org/pdf/1901.10258.pdf
Application for global optimization of multiextremal nondifferentiable functions.
Framework for Black-Box-Optimization of Machine Learning and Neural Network hyper-parameters.
OMADS - A blackbox optimization python package
🎯 📈 Sequential and Model-Based Optimization in Python, featuring SCE-UA, SMBO, and SHGO algorithms. No deps — SOTA perfomance.
Statistical learning models library for blackbox optimization
A Helper Library to run asynchronous optimization with Optuna
Generic implementations of numerical optimization methods. As of now, only cross-entropy method is here.
Fair Classification with Gaussian Process (FCGP)
Mixed Adaptive Random Search (MARS) for Optimization
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