random-search
There are 75 repositories under random-search topic.
LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
williamFalcon/test-tube
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Evolutionary-Intelligence/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/...). [https://pypop.rtfd.io/]
max-andr/square-attack
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
maxim5/hyper-engine
Python library for Bayesian hyper-parameters optimization
JuliaAI/MLJTuning.jl
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
fra31/sparse-rs
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
eHarmony/spotz
Spark Parameter Optimization and Tuning
mlr-org/mlr3fselect
Feature selection package of the mlr3 ecosystem.
Davisy/Hyperparameter-Optimization-Techniques
Different hyperparameter optimization methods to get best performance for your Machine Learning Models
hyeonsangjeon/Hyperparameters-Optimization
Hyperparameters-Optimization
franneck94/TensorCross
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
bhattbhavesh91/decision_tree_grid_search
Implementation of Grid Search to find better hyper-parameters for decision tree to reduce the over fitting.
VelbazhdSoftwareLLC/IthakaBoardGame
Ithaka board game is played on a four by four square grid with three pieces in each of four colors.
Greenwicher/PyPRS
The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation
ashutoshtiwari13/Simple-Random-Search
A simple random searching technique which provides a competitive approach to Reinforcement learning for Locomotion related tasks on Mu-Jo-Co bodies like Humanoid, Half-Cheetah etc
pySRURGS/pyGOURGS
Global optimization by uniform random global search
sssalam1/Optimization-Codes
These are Stochastic Optimization Codes by using various Techniques to optimize the function/Feature Selection
sourcecode369/Augmented-Random-Search-
The repository includes the Augmented Random Search algorithm implemented from scratch in Python. This AI algorithm as released on March 2018 research paper is a faster and more efficient than other reinforcement algorihtms.
109902249/SMART_algorithm
MATLAB implementation of the SMART algorithm
angelgaspar/randomsearch
A simple n-dimensional random search algorithm
fcakyon/ieee-fraud-detection
IEEE Fraud Detection with XGBoost and CatBoost
m-pektas/BFAS
Brute Force Architecture Search
wol4aravio/OSOL.Extremum
Open-Source Optimization Library - Extremum
aflaag/random_search
A neural network model that can approximate any non-linear function by using the random search algorithm for the optimization of the loss function.
ankit013/Bayesian-Optimization
Hyperparameter Optimization
AnushreeSrivastava/N-Queen-Problem
Solving n-queen problem using Python programming language
JeremieGince/AutoMLpy
This package is an automatic machine learning module whose function is to optimize the hyper-parameters of an automatic learning model.
Shahul-Rahman/NPROS
NPROS: A Not So Pure Random Orthogonal Search Algorithm –A Suite of Random Optimization Algorithms Driven by Reinforcement Learning
stefantaubert/quora-competition
Code for Quora Competition on Kaggle
FridayVision/UsedCarPricePrediction
We have developed a regression model aiming to predict the prices of used cars in India using the attributes from the dataset.
Kalyani011/Optimisation-EDA
Exploratory Data Analysis of Random Search, CMA, and PSO Optimisation Algorithms for Facility Location Problem
pgeedh/Hyperparameter-Tuning-with-Keras-Tuner
Practical experience in hyperparameter tuning techniques using the Keras Tuner library. Hyperparameter tuning plays a crucial role in optimizing machine learning models, and this project offers hands-on learning opportunities. Exploring different hyperparameter tuning methods, including random search, grid search, and Bayesian optimization
QiqiDuan257/evopt-lso
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
vinayak1998/Automated-Conference-Scheduler
Optimization of Conference Schedule using AI search methods