Projects in Awesome Lists tagged with feature-selection
A curated list of projects in awesome lists tagged with feature-selection .
https://github.com/feature-engine/feature_engine
Feature engineering package with sklearn like functionality
data-science feature-engineering feature-extraction feature-selection machine-learning python scikit-learn
Last synced: 12 May 2025
https://github.com/rorysroes/sgx-full-orderbook-tick-data-trading-strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
algorithmic-trading backtesting-trading-strategies feature-engineering feature-selection high-frequency-trading investment limit-order-book machine-learning market-maker market-making market-microstructure model-selection orderbook orderbook-tick-data python quant quantitative-trading trading trading-strategies
Last synced: 15 May 2025
https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
algorithmic-trading backtesting-trading-strategies feature-engineering feature-selection high-frequency-trading investment limit-order-book machine-learning market-maker market-making market-microstructure model-selection orderbook orderbook-tick-data python quant quantitative-trading trading trading-strategies
Last synced: 24 Mar 2025
https://github.com/edyoda/data-science-complete-tutorial
For extensive instructor led learning
decision-trees feature-selection linear-regression machine-learning nearest-neighbors numpy pandas pipeline scikit-learn
Last synced: 15 May 2025
https://github.com/mlr-org/mlr
Machine Learning in R
classification clustering cran data-science feature-selection hyperparameters-optimization imbalance-correction learners machine-learning mlr multilabel-classification predictive-modeling r r-package regression stacking statistics survival-analysis tuning tutorial
Last synced: 14 May 2025
https://github.com/yimeng-zhang/feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
data-mining feature-engineering feature-extraction feature-selection machine-learning python
Last synced: 16 May 2025
https://github.com/Yimeng-Zhang/feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
data-mining feature-engineering feature-extraction feature-selection machine-learning python
Last synced: 06 May 2025
https://github.com/lastancientone/deep_learning_machine_learning_stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
algorithms data-science deep-learning feature-engineering feature-extraction feature-selection features-extraction financial-engineering machine-learning neural-network prediction stock-analysis stock-data stock-market stock-prediction stock-price-prediction stock-prices stock-trading technical-analysis trading
Last synced: 16 May 2025
https://github.com/nvidia-merlin/nvtabular
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.
deep-learning feature-engineering feature-selection gpu machine-learning nvidia preprocessing recommendation-system recommender-system
Last synced: 12 Jan 2026
https://github.com/NVIDIA-Merlin/NVTabular
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.
deep-learning feature-engineering feature-selection gpu machine-learning nvidia preprocessing recommendation-system recommender-system
Last synced: 01 May 2025
https://github.com/aerdem4/lofo-importance
Leave One Feature Out Importance
data-science explainable-ai feature-importance feature-selection machine-learning
Last synced: 15 May 2025
https://github.com/alteryx/evalml
EvalML is an AutoML library written in python.
automl data-science feature-engineering feature-selection hyperparameter-tuning machine-learning model-selection optimization
Last synced: 15 May 2025
https://github.com/ashishpatel26/amazing-feature-engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
data-analysis data-mining data-science data-scientists data-visualization deep-learning feature-engineering feature-extraction feature-scaling feature-selection features machine-learning scikit-learn
Last synced: 16 May 2025
https://github.com/ashishpatel26/Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
data-analysis data-mining data-science data-scientists data-visualization deep-learning feature-engineering feature-extraction feature-scaling feature-selection features machine-learning scikit-learn
Last synced: 10 Apr 2025
https://github.com/autoviml/featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
autoencoders best-encoders categorical-variables feature-encoding feature-engg feature-engineering feature-extraction feature-selection featuretools mrmr rfe rfecv xgboost
Last synced: 14 May 2025
https://github.com/AutoViML/featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
best-encoders categorical-variables feature-engg feature-engineering feature-extraction feature-selection featuretools rfe rfecv xgboost
Last synced: 18 Jul 2025
https://github.com/akanz1/klib
Easy to use Python library of customized functions for cleaning and analyzing data.
data-analysis data-cleaning data-preprocessing data-science data-visualization feature-selection klib python
Last synced: 01 Feb 2026
https://github.com/cod3licious/autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
automated-data-science automated-feature-engineering automated-machine-learning automl feature-engineering feature-selection linear-regression machine-learning machine-learning-models
Last synced: 12 Aug 2025
https://github.com/abess-team/abess
Fast Best-Subset Selection Library
best-subset-selection classification-algorithm cox-regression feature-selection high-dimensional-data linear-regression logistic-regression machine-learning multitask-learning ordinal-regression poisson-regression polynomial-algorithm principal-component-analysis python r robust-principal-component-analysis scikit-learn sparse-principal-component-analysis sure-independence-screening
Last synced: 15 May 2025
https://github.com/desbordante/desbordante-core
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
anomaly-detection correlations data-analytics data-cleaning data-cleansing data-engineering data-exploration data-mining data-mining-algorithms data-preprocessing data-profiling data-science data-wrangling exploratory-data-analysis feature-engineering feature-extraction feature-selection knowledge-discovery spreadsheets tabular-data
Last synced: 22 Nov 2025
https://github.com/epistasislab/scikit-rebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
data-science feature-selection python
Last synced: 16 May 2025
https://github.com/EpistasisLab/scikit-rebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
data-science feature-selection python
Last synced: 27 Mar 2025
https://github.com/Desbordante/desbordante-core
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
anomaly-detection correlations data-analytics data-cleaning data-cleansing data-engineering data-exploration data-mining data-mining-algorithms data-preprocessing data-profiling data-science data-wrangling exploratory-data-analysis feature-engineering feature-extraction feature-selection knowledge-discovery spreadsheets tabular-data
Last synced: 03 Apr 2025
https://github.com/yzkang/My-Data-Competition-Experience
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
automl catboost data-science deep-learning feature-engineering feature-selection gan hyperparameter-optimization kaggle-competition lightgbm machine-learning model-fusion model-selection python sql tianchi-competition xgboost
Last synced: 27 Apr 2025
https://github.com/kaushalshetty/FeatureSelectionGA
Feature Selection using Genetic Algorithm (DEAP Framework)
deap feature-selection genetic-algorithm machine-learning python
Last synced: 16 Apr 2025
https://github.com/anujdutt9/feature-selection-for-machine-learning
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
correlation feature-selection machine-learning python36
Last synced: 06 Apr 2025
https://github.com/anujdutt9/Feature-Selection-for-Machine-Learning
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
correlation feature-selection machine-learning python36
Last synced: 06 May 2025
https://github.com/adapt-python/adapt
Awesome Domain Adaptation Python Toolbox
adversarial-learning adversarial-networks dann deep-learning domain-adaptation feature-selection few-shot-learning generalization importance-sampling machine-learning python regularization-parameters scikit-learn tensorflow transfer-learning zero-shot-learning
Last synced: 15 May 2025
https://github.com/rodrigo-arenas/sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
artificial-intelligence automl begginer-friendly contributions-welcome deap evolutionary-algorithms feature-selection featureselection good-first-issue goodfirstissue help-wanted hyperparameter-optimization hyperparameters looking-for-contributors machine-learning model-selection python scikit-learn sklearn up-for-grabs
Last synced: 15 May 2025
https://github.com/upgini/upgini
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
automated-feature-engineering automl automl-pipeline chatgpt data-enrichment data-science feature-engineering feature-extraction feature-selection features kaggle kaggle-solution large-language-models llm machine-learning open-data open-datasets public-data python-library scikit-learn
Last synced: 15 May 2025
https://github.com/jalajthanaki/nlpython
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"
deep-learning feature-engineering feature-extraction feature-selection natural-language-processing parsing part-of-speech python-scripting-language python2 text-mining
Last synced: 17 Nov 2025
https://github.com/jalajthanaki/NLPython
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"
deep-learning feature-engineering feature-extraction feature-selection natural-language-processing parsing part-of-speech python-scripting-language python2 text-mining
Last synced: 19 Jul 2025
https://github.com/solegalli/feature-selection-for-machine-learning
Code repository for the online course Feature Selection for Machine Learning
data-science feature-selection machine-learning python
Last synced: 15 May 2025
https://github.com/rasgointelligence/feature-engineering-tutorials
Data Science Feature Engineering and Selection Tutorials
data-cleaning data-science exploratory-data-analysis feature-engineering feature-selection features jupyter machine-learning notebook pandas pandas-profiling pyrasgo python scikit-learn sweetviz tutorial tutorials xgboost
Last synced: 14 Jun 2025
https://github.com/jaswinder9051998/zoofs
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.
evolutionary-algorithms feature-selection genetic-algorithm grey-wolf grey-wolf-optimizer machine-learning machine-learning-algorithms machinelearning optimization optimization-algorithms optimization-methods optimization-tools particle-swarm particle-swarm-optimization python subset-selection supervised-learning
Last synced: 21 Oct 2025
https://github.com/chasedehan/BoostARoota
A fast xgboost feature selection algorithm
algorithm boruta data-science datascience datascientist dimension-reduction feature-selection machine-learning machine-learning-algorithms machinelearning xgboost xgboost-algorithm
Last synced: 16 Nov 2025
https://github.com/arnaldog12/machine_learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
adaboost decision-trees feature-selection kmeans knn linear-discriminant-analysis linear-regression logistic-regression machine-learning machine-learning-algorithms multilinear-regression naive-bayes neural-network polynomial-regression principal-component-analysis python redes-neurais-artificiais regression
Last synced: 07 May 2025
https://github.com/chasedehan/boostaroota
A fast xgboost feature selection algorithm
algorithm boruta data-science datascience datascientist dimension-reduction feature-selection machine-learning machine-learning-algorithms machinelearning xgboost xgboost-algorithm
Last synced: 05 Apr 2025
https://github.com/predict-idlab/powershap
A power-full Shapley feature selection method.
data-science feature-selection machine-learning shap
Last synced: 07 Jul 2025
https://github.com/microsoft/finnts
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
business data-science feature-selection finance finnts forecasting machine-learning microsoft r r-package rstats time-series
Last synced: 15 May 2025
https://github.com/dominance-analysis/dominance-analysis
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.
classification-model dominance dominance-analysis dominance-statistics feature-engineering feature-importance feature-selection keydrivers logistic-regression multiple-regression predictor predictor-importance pseudo-r-square r-square regression-models relative-importance shapley-value
Last synced: 01 May 2025
https://github.com/ctlab/itmo_fs
Feature selection library in python
feature-selection machine-learning
Last synced: 30 Oct 2025
https://github.com/ctlab/ITMO_FS
Feature selection library in python
feature-selection machine-learning
Last synced: 08 May 2025
https://github.com/Hy4m/linkET
Everything is Linkable
correlation feature-selection ggplot2 heatmap r visualization
Last synced: 06 May 2025
https://github.com/emilhvitfeldt/feature-engineering-az
Source for book "Feature Engineering A-Z"
feature-engineering feature-extraction feature-selection machine-learning scikit tidymodels
Last synced: 05 Apr 2025
https://github.com/yimeng-zhang/machine-learning-from-scratch
系统梳理机器学习的各个知识点。
feature-engineering feature-selection machine-learning
Last synced: 20 Aug 2025
https://github.com/Yimeng-Zhang/Machine-Learning-From-Scratch
系统梳理机器学习的各个知识点。
feature-engineering feature-selection machine-learning
Last synced: 14 Apr 2025
https://github.com/ajayarunachalam/msda
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
anamoly-detection-using-graphs anomaly-detection correlation data-analysis deep-learning deep-neural-networks explainable-artificial-intelligence feature-engineering feature-selection multidimensional-data multisensor python pytorch sensor sensor-data signal-processing tabular-data time-series variation visualization
Last synced: 05 Oct 2025
https://github.com/runopti/stg
Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
classification cox-model feature-selection neural-networks regression
Last synced: 14 Jan 2026
https://github.com/Superzchen/iLearnPlus
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.
automated-modelling bioinformatics-tool biomedical-data-analytics deep-learning feature-selection machine-learning prediction python sequence-analysis
Last synced: 21 Jul 2025
https://github.com/hazimehh/l0learn
Efficient Algorithms for L0 Regularized Learning
compressed-sensing feature-selection l0-regularization l0learn machine-learning regularization sparse-modeling sparse-regression
Last synced: 05 Nov 2025
https://github.com/thieu1995/mafese
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
decision-tree-classifier dimensionality-reduction feature-extraction feature-selection genetic-algorithm harris-hawks-optimization knn-classifier machine-learning mutual-information optimization pearson-correlation-coefficient relief-f subset-selection svm-classifier wrapper-methods
Last synced: 14 Aug 2025
https://github.com/urbslab/streamline
Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data
automl-pipeline binary-classification data-science data-visualization feature-selection imputation machine-learning model-application statistical-analysis supervised-learning
Last synced: 12 Jul 2025
https://github.com/craigacp/feast
A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.
c feature-selection java matlab
Last synced: 13 Jul 2025
https://github.com/fidelity/selective
[AMAI 2024] Selective: Feature Selection Library
feature-selection supervised-feature-selection unsupervised-feature-selection
Last synced: 09 Mar 2026
https://github.com/kxytechnologies/kxy-python
A toolkit to boost the productivity of machine learning engineers.
feature-engineering feature-selection information-theory machine-learning machine-learning-library model-compression python
Last synced: 30 Oct 2025
https://github.com/kensuke-mitsuzawa/documentfeatureselection
A set of metrics for feature selection from text data
bns docker feature-extraction feature-selection flask-application nlp pmi python-3 soa tf-idf web-app web-application webapp
Last synced: 13 Apr 2025
https://github.com/younes-charfaoui/feature-selection-techniques
Python code source for features selection 👨🔬 series on medium website. 📰
autoencoder data-science deep-learning embedded-methods feature-engineering feature-selection filter-methods jupyter-notebook machine-learning machinelearning-python pandas python series sklearn wrapper-methods
Last synced: 20 Mar 2025
https://github.com/tlatkowski/deep-learning-gene-expression
Deep learning methods for feature selection in gene expression autism data.
annotated-genes autism autism-data data-mining deep-learning feature-detection feature-extraction feature-selection features-extraction fisher-score gene-annotation gene-expression gene-expression-profiles google-colab microarray-data ncbi-database neural-network numpy python3 ttest
Last synced: 30 Apr 2025
https://github.com/mi2-warsaw/fselectorrcpp
Rcpp (free of Java/Weka) implementation of FSelector entropy-based feature selection algorithms with a sparse matrix support
entropy feature-selection r rcpp sparse-matrix
Last synced: 27 Mar 2026
https://github.com/mlr-org/mlr3fselect
Feature selection package of the mlr3 ecosystem.
evolutionary-algorithms exhaustive-search feature-selection machine-learning mlr3 optimization r r-package random-search recursive-feature-elimination sequential-feature-selection
Last synced: 09 Sep 2025
https://github.com/epistasislab/rebate
Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see scikit-rebate.
cython data-science feature-selection
Last synced: 16 Apr 2025
https://github.com/mamba413/ball
Statistical Inference and Sure Independence Screening via Ball Statistics
ball-correlation ball-covariance ball-divergence feature-selection independence-tests k-sample-test sure-independence-screening
Last synced: 03 Jul 2025
https://github.com/kwokhing/yandexcatboost-python-demo
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
catboost data-analysis data-preprocessing data-science feature-selection gradient-boosting gradient-boosting-classifier one-hot-encode pandas pearson-correlation python python27 seaborn variance-analysis visualization yandex-catboost
Last synced: 09 Apr 2025
https://github.com/sebastianament/compressedsensing.jl
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.
basis-pursuit compressed-sensing feature-selection julia matching-pursuit sparse-bayesian-learning sparse-linear-systems sparse-regression sparsity stepwise-regression subset-selection
Last synced: 30 Jul 2025
https://github.com/geekquad/fraud-detection
A Person Of Interest identifier based on ENRON CORPUS data.
enron-dataset enron-emails evaluation feature-selection fraud-detection kmeans outlier-removal person-of-interest regression-analysis validation
Last synced: 23 Jul 2025
https://github.com/solegalli/feature-selection-in-machine-learning-book
Code repository for the book feature selection in machine learning
data-science feature-selection machine-learning machine-learning-tutorials python
Last synced: 05 May 2025
https://github.com/pat-s/2019-feature-selection
Research project
ecological-modeling environmental-modeling feature-selection forest-health machine-learning r research-compendium
Last synced: 02 Jul 2025
https://github.com/unnir/cancelout
CancelOut is a special layer for deep neural networks that can help identify a subset of relevant input features for streaming or static data.
deep-learning feature-importance feature-selection
Last synced: 21 Sep 2025
https://github.com/medoidai/skrobot
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
artificial-intelligence data-science feature-engineering feature-selection hyperparameter-tuning machine-learning model-evaluation model-selection model-training model-tuning open-source predictive-modelling python scikit-learn
Last synced: 02 Aug 2025
https://github.com/outbrain-inc/outrank
A Python library for efficient feature ranking and selection on sparse data sets.
algorithms cardinality-estimation counting data-mining data-monitoring data-stream-mining feature-engineering feature-ranking feature-selection machine-learning multithreaded numba-jit-compiler online-feature-building online-learning-algorithms probabilistic-programming python-library sampling-methods scalable-machine-learning statistics
Last synced: 12 Aug 2025
https://github.com/somjit101/predictive-maintenance-industrial-iot
Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualization we attempt to performance Failure Analysis and Prediction of crucial industrial equipments like Boilers, Pumps, Motors etc. so that necessary actions can be taken by the management for their repair, servicing and optimal performance.
csv-files decision-trees eda failure-prediction feature-selection iot ipython-notebook predictive-maintenance python sensors
Last synced: 28 Oct 2025
https://github.com/anaxagor/applybn
Multi-purpose data analysis framework based on Bayesian networks and Causal models
bayesian-networks causal-models concept-analysis feature-extraction feature-selection outlier-detection oversampling tabular-data time-series
Last synced: 26 Feb 2026
https://github.com/Oxid15/cascade
Lightweight and modular MLOps library targeted at small teams or individuals
experiment-tracking feature-selection machine-learning ml ml-experimentation mlops model-lifecycle model-selection
Last synced: 11 May 2025
https://github.com/mlr-org/mlr3filters
Filter-based feature selection for mlr3
feature-selection filter filters mlr mlr3 r r-package variable-importance
Last synced: 09 Apr 2025
https://github.com/statmlben/dnn-inference
Significance tests of feature relevance for a black-box learner
black-box-testing feature-importance feature-selection hypothesis-testing image-inference significance-testing statistical-inference statistical-tests xai
Last synced: 16 Jan 2026
https://github.com/bbenligiray/greedy-face-features
Greedy Search for Descriptive Spatial Face Features
emotion-analysis emotion-analytics emotion-recognition facial-expression-recognition facial-features facial-landmarks feature-selection sequential-forward-selection
Last synced: 06 May 2025
https://github.com/joshloyal/sliced
sliced: scikit-learn compatible sufficient dimension reduction
dimension-reduction dimensionality-reduction feature-selection machine-learning machine-learning-algorithms python sufficient-dimension-reduction variable-selection
Last synced: 08 Feb 2026
https://github.com/dunnkers/fseval
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
automl benchmarking benchmarking-framework benchmarks feature-rankers feature-ranking feature-selection hydra machine-learning python scikit-learn wandb
Last synced: 13 Apr 2025
https://github.com/haghish/shapley
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
class-imbalance class-imbalance-problem feature-extraction feature-importance feature-selection machine-learning machine-learning-algorithms shap shap-analysis shap-values shapely shapley-additive-explanations shapley-decomposition shapley-value shapley-values shapleyvalue weighted-shap weighted-shap-confidence-interval weighted-shapley weighted-shapley-ci
Last synced: 21 Feb 2026
https://github.com/mamba413/bess
Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis
classification-model feature-selection poisson-regression regression-models sparse-linear-systems survival-analysis variable-selection
Last synced: 21 Mar 2025
https://github.com/jupiters1117/mico
MICO: Mutual Information and Conic Optimization for feature selection
conic-programs convex-optimization feature-selection machine-learning mutual-information python semidefinite-programming
Last synced: 14 Jan 2026
https://github.com/habedi/feature-factory
A high-performance feature engineering library for Rust powered by Apache DataFusion 🦀
data-preprocessing data-science feature-engineering feature-selection machine-learning rust-lang rust-library
Last synced: 01 Aug 2025
https://github.com/KChen-lab/SCMarker
Marker gene selection from scRNA-seq data
feature-selection high-dimensional-data single-cell-rna-seq statistical-methods
Last synced: 09 Apr 2025
https://github.com/solegalli/feature-selection-with-feature-engine-book
Code repository for the book Feature engineering with Feature-engine
feature-selection feature-selection-methods machine-learning machine-learning-algorithms machine-learning-tutorials
Last synced: 16 Oct 2025
https://github.com/majianthu/aps2020
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
copula-entropy distance-correlation feature-engineering feature-selection hsic mutual-information variable-importance variable-selection
Last synced: 11 Jun 2025
https://github.com/genfifth/cvopt
Machine learning's parameter search and feature selection module which is integrated log management and visualization.
bayesian-optimization deep-learning feature-selection hyperopt hyperparameter-optimization integrated-visualization keras logmanagement machine-learning python scikit-learn
Last synced: 10 Apr 2025
https://github.com/ltfschoen/aind-recognizer
Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)
algorithms artificial-intelligence baum-welch bayesian-information-criterion cross-platform discriminative-criterion feature-selection hidden-markov-models jupyter-notebook model-selection model-training n-grams natural-language-processing pandas-dataframes probabilistic-models python36 sign-language-recognition-system
Last synced: 01 Jul 2025
https://github.com/deezer/interpretable_nn_attribution
Source code from our RecSys 2020 paper: "Making neural network interpretable with attribution: application to implicit signals prediction" (D. Afchar, R. Hennequin)
attribution deezer feature-selection interpretable-machine-learning recsys2020
Last synced: 25 Oct 2025
https://github.com/joaquinamatrodrigo/seleccion_predictores_ga_python
Selección de predictores mediante algoritmo genético python
feature-selection genetic-algorithm machine-learning python
Last synced: 13 Jul 2025
https://github.com/cumbof/chopin2
Domain-Agnostic Supervised Learning with Hyperdimensional Computing
apache-spark backward-elimination feature-selection gpgpu hd-computing machine-learning supervised-learning vsa
Last synced: 14 Jun 2025
https://github.com/nesl/neurosymbolic-tinyml
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
adversarial-machine-learning ai automl bayesian constrained-optimization deep-learning edgeml feature-selection hyperparameter-tuning kalman-filter machine-learning microcontroller mlperf-inference neural-architecture-search neural-network neurosymbolic physics-aware-ml tensorflow-lite-micro tinyml
Last synced: 23 Jan 2026
https://github.com/iwhalen/tblup
Trait BLUP, a Feature Selection Package for Genomic Prediction
differential-evolution evolutionary-computation feature-selection genomic-prediction
Last synced: 29 May 2026
https://github.com/amirhszd/jostar
Feature Selection Library for Data Sciences in Python
ant-colony-optimization differential-evolution feature feature-selection genetic-algorithm metaheuristics multiobjective-optimization optimization particle-swarm-optimization sequential-search
Last synced: 09 Mar 2026
https://github.com/tslu1s/atlantic
Atlantic: Automated Data Preprocessing Framework for Supervised Machine Learning
automation automl automl-pipeline data-preprocessing data-science feature-selection label-encoder machine-learning onehot-encoder predictive-maintenance predictive-modeling preprocessing-pipeline python scikit-learn
Last synced: 10 Apr 2025
https://github.com/teddyoweh/dimensionality-reduction-pca
Dimensionality reduction is basically a process of reducing the amount of random features,attributes variables or in this case called dimensions in a dataset and leaving as much variation in the dataset as possible by obtaining a set of only relevant features to increase the effiency of a model.
data-science dataset dimensional-analysis dimensionality-reduction feature-extraction feature-selection machine-learning
Last synced: 09 Apr 2025
https://github.com/edikedik/eboruta
Flexible and transparent Python Boruta implementation
ensemble-models feature-selection machine-learning python scikit-learn
Last synced: 10 Apr 2025
