random-search | Topic | Ecosyste.ms: Repos

Topic: "random-search"

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

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

Language: Jupyter Notebook - Size: 235 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 1,291 - Forks: 303

SimonBlanke/Gradient-Free-Optimizers

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

Language: Python - Size: 38.3 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1,228 - Forks: 91

williamFalcon/test-tube

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

Language: JavaScript - Size: 1.45 MB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 735 - Forks: 74

Evolutionary-Intelligence/pypop

[JMLR (CCF-A)] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, pattern search, and random search). [https://jmlr.org/papers/v25/23-0386.html] (Its Planned Extensions: PyCoPop7, PyNoPop7, PyDPop77, and PyMePop7)

Language: Python - Size: 955 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 239 - Forks: 36

max-andr/square-attack

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

Language: Python - Size: 12.5 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 128 - Forks: 24

maxim5/hyper-engine

Python library for Bayesian hyper-parameters optimization

Language: Python - Size: 399 KB - Last synced at: 20 days ago - Pushed at: over 6 years ago - Stars: 90 - Forks: 22

Hvass-Labs/swarmops

Heuristic Optimization for Python

Language: Python - Size: 64.5 KB - Last synced at: 28 days ago - Pushed at: over 5 years ago - Stars: 72 - Forks: 16

JuliaAI/MLJTuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Language: Julia - Size: 640 KB - Last synced at: 23 days ago - Pushed at: 10 months ago - Stars: 66 - Forks: 12

Hvass-Labs/MetaOps

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

Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: 14 days ago - Pushed at: over 6 years ago - Stars: 54 - Forks: 12

eHarmony/spotz

Spark Parameter Optimization and Tuning

Language: Scala - Size: 227 KB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 31 - Forks: 8

sibirbil/marsopt

Mixed Adaptive Random Search (MARS) for Optimization

Language: Python - Size: 41 MB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 29 - Forks: 0

fra31/sparse-rs

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

Language: Python - Size: 8.97 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 29 - Forks: 4

mlr-org/mlr3fselect

Feature selection package of the mlr3 ecosystem.

Language: R - Size: 14.6 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 23 - Forks: 4

hyeonsangjeon/Hyperparameters-Optimization

Hyperparameters-Optimization

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 21 days ago - Pushed at: about 2 years ago - Stars: 17 - Forks: 3

franneck94/TensorCross

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

Language: Python - Size: 734 KB - Last synced at: about 13 hours ago - Pushed at: 12 months ago - Stars: 14 - Forks: 2

Davisy/Hyperparameter-Optimization-Techniques

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

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 11

thowell/rs

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

Language: Python - Size: 3.43 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 12 - Forks: 0

bhattbhavesh91/decision_tree_grid_search

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

Language: Jupyter Notebook - Size: 2.68 MB - Last synced at: 25 days ago - Pushed at: almost 4 years ago - Stars: 12 - Forks: 18

VelbazhdSoftwareLLC/IthakaBoardGame

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

Language: Java - Size: 65.5 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 5

Hvass-Labs/Optimization-Papers

Archive of my older research papers on optimization

Size: 4.53 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 1

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

Language: Python - Size: 1.97 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 2

Greenwicher/PyPRS

The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation

Language: C - Size: 56.5 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 1

pySRURGS/pyGOURGS

Global optimization by uniform random global search

Language: Python - Size: 796 KB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 4

thowell/rs.cpp

A multi-threaded C++ implementation of random search for locomotion tasks using MuJoCo.

Language: C++ - Size: 20.2 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 5 - Forks: 0

fcakyon/ieee-fraud-detection

IEEE Fraud Detection with XGBoost and CatBoost

Language: Jupyter Notebook - Size: 268 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

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.

Language: Python - Size: 38 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 3

sushant1827/Traffic-Forecasting-using-IoT-Sensor-Data

Demonstrates how to utilize XGBoost for traffic forecasting using data gathered from IoT sensors, highlighting its efficiency in processing complex datasets and delivering accurate predictions.

Language: Jupyter Notebook - Size: 908 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

m-pektas/BFAS

Brute Force Architecture Search

Language: Python - Size: 193 KB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

wol4aravio/OSOL.Extremum

Open-Source Optimization Library - Extremum

Language: Python - Size: 3.63 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

angelgaspar/randomsearch

A simple n-dimensional random search algorithm

Language: Python - Size: 10.7 KB - Last synced at: 12 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

triepels/CrossValidation.jl

Cross-validation in Julia

Language: Julia - Size: 201 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

Shahul-Rahman/NPROS

NPROS: A Not So Pure Random Orthogonal Search Algorithm –A Suite of Random Optimization Algorithms Driven by Reinforcement Learning

Language: Jupyter Notebook - Size: 2.44 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

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.

Language: Rust - Size: 60.5 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

JeremieGince/AutoMLpy

This package is an automatic machine learning module whose function is to optimize the hyper-parameters of an automatic learning model.

Language: Python - Size: 13.4 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

ankit013/Bayesian-Optimization

Hyperparameter Optimization

Language: Jupyter Notebook - Size: 461 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

Hvass-Labs/swarmops-other

Heuristic Optimization for C#, C, Java and Matlab

Size: 1.71 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 2

stefantaubert/quora-competition

Code for Quora Competition on Kaggle

Language: Python - Size: 457 KB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 2

ISG-Siegen/lenskit-auto

An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.

Language: Python - Size: 2.55 MB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

mlampros/RandomSearchR

Find the optimal parameters of an algorithm using random search in R

Language: R - Size: 166 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 2

FridayVision/UsedCarPricePrediction

We have developed a regression model aiming to predict the prices of used cars in India using the attributes from the dataset.

Language: Jupyter Notebook - Size: 678 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

AnushreeSrivastava/N-Queen-Problem

Solving n-queen problem using Python programming language

Language: Python - Size: 96.7 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

amirziai/autokeras

Hyper-parameter + encoding + architecture grid/random search for keras

Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 0

varmatilak22/Spam_SMS_Classification

This project aims to develop a machine learning model to classify SMS messages as spam or not spam. The project encompasses the entire pipeline from data collection and preprocessing to model training, evaluation, and deployment using Streamlit for an interactive user interface.

Language: Python - Size: 679 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

murad-sh/cvrp-algorithm

The Capacitated Vehicle Routing Problem (CVRP) Solutions.

Language: Python - Size: 16.6 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

sorodocosmin/feedbackHHC

This project focuses on analyzing patient feedback regarding the treatment provided by home healthcare service agencies.

Language: Python - Size: 5.52 MB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 786 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

AmirHHasani/Auto-tuning-of-Classic-Machine-Learning-Models-Hyperparameters-Using-Scikit-Learn

Using Scikit-Learn to optimize some of the hyperparameters of Classic ML Models

Language: Jupyter Notebook - Size: 74.2 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

gauravsharma884/Big-Data-And-Data-Analytics

This repository contains all the work projects carried out with respect to learning and experiments on Big Data Analytics. The scripts are formed to build machine learning models for future predictions.

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

fantine/hptuning

Hyper parameter tuning for machine learning

Language: Python - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

stephaniaslis/Salary

Previsão do salário (acima ou abaixo de 50K) utilizando decision tree classifier, otimização por random search, cross validation, validation curve, learning curve.

Language: Jupyter Notebook - Size: 977 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

joeanton719/useful_codes

codes related to hyperparameter tuning and some classes, functions, etc. I have created to optmize classification problems (Continuously being updated ).

Language: Jupyter Notebook - Size: 96.7 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

benjides/Maizal

Search algorithm framework to find and expand trees.

Language: JavaScript - Size: 68.4 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 1

vinayak1998/Automated-Conference-Scheduler

Optimization of Conference Schedule using AI search methods

Language: C++ - Size: 345 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 2

Juninxz13/grpo-optuna

Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna

Size: 1.95 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

TRAORE-07/Hyperparameter-Tuning-Methods

Random Search, Grid Search and Bayesian Search

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Y-Srivaishnavi/simple_neural_architecture_search

Perform Neural Architecture Search to find the optimal ANN architecture for classification on two datasets: Splice and Human Activity Recognition

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

ayjab/tune_ml

This repository is useful for tuning machine learning models for both classification and regression using four methods: Bayesian Optimization, Random Search, Grid Search, and Optuna.

Language: Python - Size: 53.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

GiorgiaAuroraAdorni/CAT-optimal-hybrid-solver

The CAT Optimal Hybrid Solver is a tool designed to tackle the cross array task (CAT) activity designed to assess algorithmic thinking skills in the context of K-12 education.

Language: Python - Size: 35.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MarcLinderGit/raisins

In this project, I aim to predict raisin variety using machine learning. The dataset includes raisin features and two classes: 'Kecimen' and 'Besni.' We employ Decision Tree and Logistic Regression models, optimizing them with Grid Search and Randomized Search for improved performance.

Language: Jupyter Notebook - Size: 83 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0