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Search results for python feature selection

feature-selection x

149 search results found

Feature_engine ⭐ 1,651

Feature engineering package with sklearn like functionality

Mlbox ⭐ 1,403

MLBox is a powerful Automated Machine Learning python library.

Boruta_py ⭐ 1,350

Python implementations of the Boruta all-relevant feature selection method.

Sgx Full Orderbook Tick Data Trading Strategy ⭐ 1,151

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Awesome Interpretable Machine Learning ⭐ 856

Feature Engineering And Feature Selection ⭐ 798

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

Lofo Importance ⭐ 785

Leave One Feature Out Importance

EvalML is an AutoML library written in python.

MILK: Machine Learning Toolkit

Featurewiz ⭐ 516

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

Feature Selection ⭐ 475

Features selector based on the self selected-algorithm, loss function and validation method

Easy to use Python library of customized functions for cleaning and analyzing data.

Autofeat ⭐ 410

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

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

Fast Best-Subset Selection Library

Scikit Rebate ⭐ 308

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Nlpython ⭐ 302

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

Featureselectionga ⭐ 274

Feature Selection using Genetic Algorithm (DEAP Framework)

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

My Data Competition Experience ⭐ 271

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Awesome Domain Adaptation Python Toolbox

Feature Selection For Machine Learning ⭐ 248

Code repository for the online course Feature Selection for Machine Learning

Sklearn Genetic Opt ⭐ 236

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Feature Engineering Tutorials ⭐ 217

Data Science Feature Engineering and Selection Tutorials

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.

Machine_learning ⭐ 183

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Flexible Feature Engineering & Exploration Library using GPUs and Optuna.

Parallelized Mutual Information based Feature Selection module.

Wrapper Feature Selection Toolbox Python ⭐ 170

This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.

Powershap ⭐ 153

A power-full Shapley feature selection method.

Compress Fasttext ⭐ 153

Tools for shrinking fastText models (in gensim format)

Boostaroota ⭐ 139

A fast xgboost feature selection algorithm

Dominance Analysis ⭐ 128

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.

Stability Selection ⭐ 121

scikit-learn compatible implementation of stability selection.

Itmo_fs ⭐ 121

Feature selection library in python

Music Emotion Recognition ⭐ 117

A Machine Learning Approach of Emotional Model

Pyhsiclasso ⭐ 111

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

Relataly Public Python Tutorials ⭐ 109

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Feature Selection For Machine Learning ⭐ 81

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

All Relevant Feature Selection

Geneticalgorithmforfeatureselection ⭐ 60

Search the best feature subset for you classification mode

Ilearnplus ⭐ 57

iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of automated machine-learning pipelines for computational analysis and predictions using nucleic acid and protein sequences.

Ablator is a Service that enables you to roll out functionalities at your own pace, and perform good A/B testing.

Examples For Data Scientists ⭐ 52

Selective ⭐ 51

Selective: Feature Selection Library

A Python Package for Feature Selection

Tabnet Modified ⭐ 47

Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"

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

Textfeatureselection ⭐ 45

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

Documentfeatureselection ⭐ 37

A set of metrics for feature selection from text data

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

Deep learning for identifying cis-regulatory elements and other applications

Estimation of Distribution algorithms Python package

Mutual Information Feature Selection ⭐ 29

Use mutual information to select features in a Titanic data set

Feature Selection for Clustering

Glmpca Py ⭐ 28

generalized principal component analysis (GLM-PCA) implemented in python

Py_ml_utils ⭐ 27

Python utilities for Machine Learning competitions

Relief Based Algorithms of ReBATE implemented in Python with Cython optimization.

Yandexcatboost Python Demo ⭐ 26

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

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

Deep_learning ⭐ 22

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

GEDFN: Graph-Embedded Deep Feedforward Network

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

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].

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

Quickselection ⭐ 15

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

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.

Greedy Face Features ⭐ 15

Greedy Search for Descriptive Spatial Face Features

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.

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

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".

Deeppink ⭐ 13

DeepPINK: reproducible feature selection in deep neural networks

Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀

Dnn Inference ⭐ 13

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

Reinforcement Learning Feature Selection ⭐ 13

Feature selection for maximizing expected cumulative reward

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

Graphofdocs ⭐ 12

GraphOfDocs: Representing multiple documents as a single graph

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

Sngramextractor ⭐ 12

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

MICO: Mutual Information and Conic Optimization for feature selection

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

Pycausalfs ⭐ 11

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

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

Feature Selection Techniques ⭐ 11

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

Lapras is developed to facilitate the dichotomy model development work.

Target Permutation Importances ⭐ 11

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

Deep_radiomics ⭐ 11

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

Pypunisher ⭐ 11

A Python package that performs stepwise forward and backward feature selection

Classification Py ⭐ 11

Machine learning library for classification tasks

Autolearn ⭐ 11

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

Aind Recognizer ⭐ 10

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

Stepwise Regression ⭐ 10

Project uploaded to Python community

Deep Learning Gene Expression ⭐ 10

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

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

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

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