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2019 Feature Selection ⭐ 24

Research project

Online Streaming Feature Selection

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

Btc_data ⭐ 23

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

R Arcgis Lsm_toolpack ⭐ 23

This tool is to develop an easy-to-use tool package called Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide susceptibility maps based on integrating R with ArcMap Software. The proposed tool contains 5 main modules namely: (1) Data Preparation (DP), (2) Feature (Factor) Selection (FS), (3) Logistic Regression (LR), (4) Random Forest (RF), (5) Performance Evaluation (PE) and (6) Create Raster Stack (Multi-Bands).

Consensusml ⭐ 22

Machine Learning to Detect Cancer Biomarkers from RNAseq Data

Deep_learning ⭐ 22

Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano

Statistical Inference and Sure Independence Screening via Ball Statistics

Fifa 2019 Analysis ⭐ 21

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

Laravel Rollout ⭐ 20

A package to integrate rollout into your Laravel project.

Marker Selection by matching manifolds and elastic net

GEDFN: Graph-Embedded Deep Feedforward Network

Mlr3filters ⭐ 19

Filter-based feature selection for mlr3

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

Compressedsensing.jl ⭐ 18

Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.

Secure multi-party linear regression at plaintext speed

Autoblur Cnn Features ⭐ 17

Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier with lineal kernel over the following small datasets: Soccer [1], Birds [2], 17flowers [3], ImageNet-6Weapons[4] and ImageNet-7Arthropods[4].

Mlr3fselect ⭐ 17

Feature selection package of the mlr3 ecosystem.

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

Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1506.02371

Greedy Face Features ⭐ 15

Greedy Search for Descriptive Spatial Face Features

Quickselection ⭐ 15

[Machine Learning Journal (ECML-PKDD 2022 journal track)] Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders

Lightweight and modular MLOps library targeted at small teams or individuals

Geneticfs ⭐ 15

GeneticFS is a library for feature selection in Machine Learning using a Genetic Algorithm as an optimisation method.

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

50 Days Of Statistics For Data Science ⭐ 15

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.

Ai On Browser.github.io ⭐ 14

Machine learning and data analysis package implemented in JavaScript and its online demo.

This package is for visualising variable importance and variable interaction.

Kxy Python ⭐ 14

A toolkit to boost the productivity of machine learning engineers.

Aaai 2019 Afs ⭐ 14

The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".

The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

Exemplary Ml Pipeline ⭐ 14

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

Machine Learning From Scratch ⭐ 14

系统梳理机器学习的各个知识点。

2018 Mlj Semi Supervised Feature Selection ⭐ 14

Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal

Deeppink ⭐ 13

DeepPINK: reproducible feature selection in deep neural networks

Reinforcement Learning Feature Selection ⭐ 13

Feature selection for maximizing expected cumulative reward

Dnn Inference ⭐ 13

[TNNLS 2022] Significance tests of feature relevance for a black-box learner

Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀

Flight_delay_prediction ⭐ 12

A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.

Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.

Graphofdocs ⭐ 12

GraphOfDocs: Representing multiple documents as a single graph

(2022) Enhanced robust spatial feature selection and correlation filter learning for UAV tracking

Machine learning's parameter search and feature selection module which is integrated log management and visualization.

Binary_swarm_intelligence ⭐ 12

Libraries of binary swarm intelligence mainly used for obtaining optimal solution of feature selection

My MSc on Data Science final project. This is a library for Data Pre-processing Algorithms for Streaming in Flink (DPASF)

Mlfeature ⭐ 12

Feature engineering toolkit for Spark MLlib.

Sngramextractor ⭐ 12

Python package code repo for Implementation of syntactic n-grams (sn-gram) extraction

NPDR: Nearest-neighbor Projected-Distance Regression with the generalized linear model

Artificial_curiosity ⭐ 12

Adaptive Reinforcement Learning of curious AI basketball agents

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

feseR: Combining feature selection methods for analyzing omics data

Big_data_course_rimini_2021 ⭐ 11

Questa repository contiene tutto il materiale didattico utilizzato durante il corso di "Laboratorio Big Data" in collaborazione con il comune di Rimini.

Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making model development more efficient and user-friendly

【PyTorch】Easy-to-use package of Cognitive Evolutionary Search (CELS) for Click-Through Rate Prediction

Pycausalfs ⭐ 11

pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification

Autolearn ⭐ 11

AutoLearn, a domain independent regression-based feature learning algorithm.

Lapras is developed to facilitate the dichotomy model development work.

Classification Py ⭐ 11

Machine learning library for classification tasks

Seismic Features For Machine Learning ⭐ 11

This collection of codes can be used for extracting features from continuous seismic signals for different machine learning tasks.

Target Permutation Importances ⭐ 11

A Python Package that computes Target Permutation Importances (Null Importances) of a machine learning model.

Pypunisher ⭐ 11

A Python package that performs stepwise forward and backward feature selection

MICO: Mutual Information and Conic Optimization for feature selection

Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics

Deep_radiomics ⭐ 11

Deep features and radiomics selection with NSGA-II for pulmonary nodule classification

Cancelout ⭐ 11

CancelOut is a layer for deep neural networks, that can help identify a subset of relevant input features for streaming or static data.

Feature Selection Techniques ⭐ 11

Python code source for features selection 👨‍🔬 series on medium website. 📰

Stepwise Regression ⭐ 10

Project uploaded to Python community

LOFS: A Library of Online Streaming Feature Selection

The holdout randomization test: feature selection using black box predictive models

Interactive ML Toolset

Autoufstool ⭐ 10

Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection

Deep Learning Gene Expression ⭐ 10

Deep learning methods for feature selection in gene expression autism data.

Aind Recognizer ⭐ 10

Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)

Atlantic ⭐ 10

Atlantic - Automated Data Preprocessing Framework for Supervised Machine Learning

A Python interface to the Feature Selection Toolkit, contains JMI, BetaGamma, CMIM, CondMI, DISR, ICAP, and mRMR

Causalfs ⭐ 10

An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)

Lassovariants ⭐ 9

Python codes for Lasso feature selection

Satelliteimageclassification ⭐ 9

Pixel based classification of satellite imagery - feature generation using Orfeo Toolbox, feature selection using Learning Vector Quantization, CLassification using Decision Tree, Neural Networks, Random Forests, KNN and Naive Bayes Classifier

Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019

Dengue_prediction ⭐ 9

Predicting spread of Dengue based on climate data

Marker gene selection from scRNA-seq data

Deep-Feature Selection

Semeval 2019 Task 6 ⭐ 9

Brainnet Ml Toolbox ⭐ 9

Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.

Wrapper Feature Selection Toolbox ⭐ 9

This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

Hsi Bandselection ⭐ 9

Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging.

Data_processing_and_feature_engineering_in_machine_learning ⭐ 9

This is an attempt to summarize feature engineering methods that I have learned over the course of my graduate school.

Chi Square ⭐ 9

Text feature selection with Chi-squared test supporting map-reduce

Infofeatureselection ⭐ 9

Variational Information Maximization for Feature Selection

Deep Treatment Learning (R)

An unsupervised compressed-sensing technique for fundamental objects selection

A Python library for efficient feature ranking and selection on sparse data sets.

Implementations of the Relief family of feature selection algorithms.

Rayleighselection ⭐ 8

An R package for feature selection in topological spaces.

Simulating Supervised Learning Data

Greywolfoptimization Mksvm ⭐ 8

Using GreyWolfOptimization for feature selection and multi kernel SVM for classification for Malware Hunting on IoT devices

Linear Model with Tree-Based Lasso Regularization for Rare Feature Selection

Deep unsupervised feature selection by discarding nuisance and correlated features

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