random-search topic
Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
test-tube
Python library to easily log experiments and parallelize hyperparameter search for neural networks
hyper-engine
Python library for Bayesian hyper-parameters optimization
MLJTuning.jl
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
square-attack
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
sparse-rs
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
spotz
Spark Parameter Optimization and Tuning
pypop
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [...
mlr3fselect
Feature selection package of the mlr3 ecosystem.