Top 34 feature-selection open source projects

Machine Learning in R

Feature engineering package with sklearn like functionality

Awesome Domain Adaptation Python Toolbox

code for "A global pathway selection algorithm for the reduction of detailed chemical kinetic mechanisms" (Gao et al., CNF'16)

Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.

Search the best feature subset for you classification mode

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

All Relevant Feature Selection

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.

A package to integrate rollout into your Laravel project.

Python utilities for Machine Learning competitions

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Research project

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Exemplary, annotated machine learning pipeline for any tabular data problem.

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Efficient Algorithms for L0 Regularized Learning

Statistical Inference and Sure Independence Screening via Ball Statistics

GraphOfDocs: Representing multiple documents as a single graph

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

Feature selection for maximizing expected cumulative reward

This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations

Feature Selection for Clustering