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LiYangHart /Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

machine-learning deep-learning random-forest optimization genetic-algorithm machine-learning-algorithms hyperparameter-optimization artificial-neural-networks grid-search tuning-parameters bayesian-optimization hyperparameter-tuning random-search particle-swarm-optimization hpo automl automated-machine-learning python-examples python-samples machine-learning-optimization

UpdatedSep 22, 2022
Jupyter Notebook

Gradient-Free-Optimizers

SimonBlanke /Gradient-Free-Optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

machine-learning optimization constrained-optimization hyperparameter-optimization meta-heuristic simulated-annealing hill-climbing bayesian-optimization nelder-mead random-search particle-swarm-optimization evolution-strategies blackbox-optimization gradient-free-optimization tree-of-parzen-estimator hyperactive

UpdatedJul 12, 2025
Python

williamFalcon /test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

data-science machine-learning caffe deep-learning chainer tensorflow keras pytorch neural-networks hyperparameter-optimization grid-search random-search caffe2

UpdatedJul 22, 2022
JavaScript

Evolutionary-Intelligence /pypop

[JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, etc.). [https://jmlr.org/papers/v25/23-0386.html]

evolutionary-algorithms global-optimization differential-evolution genetic-algorithms black-box-optimization numerical-optimization nonlinear-optimization random-search optimization-algorithms particle-swarm-optimization evolution-strategies continuous-optimization large-scale-optimization derivative-free-optimization gradient-free-optimization zeroth-order-optimization direct-search population-based-optimization estimation-of-distribution-algorithms consensus-based-optimization

UpdatedJul 12, 2025
Python

square-attack

max-andr /square-attack

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

random-search robustness adversarial-attacks black-box-attacks zeroth-order-optimization adversarial-robustness

UpdatedJul 2, 2020
Python

maxim5 /hyper-engine

Python library for Bayesian hyper-parameters optimization

python data-science machine-learning big-data deep-learning neural-network tensorflow model-selection hyperparameter-optimization convolutional-neural-networks gaussian-processes bayesian-optimization random-search optimization-algorithms

UpdatedAug 28, 2018
Python

Hvass-Labs /swarmops

Heuristic Optimization for Python

hyperparameter-optimization meta-heuristic differential-evolution random-search particle-swarm-optimization blackbox-optimization

UpdatedFeb 9, 2020
Python

JuliaAI /MLJTuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

machine-learning julia hyperparameter-optimization grid-search random-search mlj

UpdatedJul 19, 2024
Julia

Hvass-Labs /MetaOps

Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

hyperparameter-optimization meta-heuristic differential-evolution random-search particle-swarm-optimization nsga2 blackbox-optimization

UpdatedOct 23, 2018
Jupyter Notebook

fra31 /sparse-rs

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

random-search l0 adversarial-attacks black-box-attacks sparse-attacks adversarial-patches adversarial-frames

UpdatedFeb 24, 2022
Python

eHarmony /spotz

Spark Parameter Optimization and Tuning

machine-learning spark optimizer hyperparameters hyperparameter-optimization machinelearning vowpal-wabbit grid-search hyperparameter-tuning random-search optimization-algorithms

UpdatedApr 11, 2018
Scala

sibirbil /marsopt

Mixed Adaptive Random Search (MARS) for Optimization

python machine-learning optimization hyperparameter-optimization hyperparameter-tuning random-search blackbox-optimization

UpdatedMar 2, 2025
Python

mlr3fselect

mlr-org /mlr3fselect

Feature selection package of the mlr3 ecosystem.

machine-learning r optimization feature-selection evolutionary-algorithms r-package random-search recursive-feature-elimination exhaustive-search mlr3 sequential-feature-selection

UpdatedJul 10, 2025
R

Davisy /Hyperparameter-Optimization-Techniques

Different hyperparameter optimization methods to get best performance for your Machine Learning Models

machine-learning hyperparameter-optimization hyperopt grid-search random-search

UpdatedOct 4, 2020
Jupyter Notebook

hyeonsangjeon /Hyperparameters-Optimization

Hyperparameters-Optimization

optimization hyperparameter-optimization grid-search bayesian-optimization hyperparameter-tuning random-search hpo hyperparameter hyperparameter-search tpe gridsearchcv hyperband tree-structured randomsearchcv hyperbandsearchcv bayessearchcv fmin tree-of-parzen-estimator

UpdatedMar 22, 2023
Jupyter Notebook

franneck94 /TensorCross

Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets

python validation tensorflow cross-validation dataset grid-search random-search gridsearchcv gridsearch tensorflow-datasets tensorflow2

UpdatedMay 20, 2024
Python

bhattbhavesh91 /decision_tree_grid_search

Implementation of Grid Search to find better hyper-parameters for decision tree to reduce the over fitting.

random-search decision-tree-algorithm grid-search-hyperparameters

UpdatedMay 29, 2021
Jupyter Notebook

thowell /rs

A simple JAX-based implementation of random search for locomotion tasks using MuJoCo XLA (MJX).

learning robotics optimization parallel-computing locomotion random-search mujoco jax motor-control mjx

UpdatedJul 18, 2024
Python

VelbazhdSoftwareLLC /IthakaBoardGame

Ithaka board game is played on a four by four square grid with three pieces in each of four colors.

board-game artificial-intelligence brute-force artificial-neural-networks monte-carlo-simulation monte-carlo-tree-search random-search

UpdatedDec 26, 2023
Java

Hvass-Labs /Optimization-Papers

Archive of my older research papers on optimization

hyperparameter-optimization meta-heuristic differential-evolution random-search particle-swarm-optimization blackbox-optimization

UpdatedJan 20, 2021

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