Alternatives and similar repositories for ITMO_FS

Users that are interested in ITMO_FS are comparing it to the libraries listed below

• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆222Updated 4 years ago
• Alex-Lekov / AutoML_Alex
  State-of-the art Automated Machine Learning python library for Tabular Data
  ☆233Updated last year
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆135Updated 2 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆208Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆618Updated last year
• sberbank-ai-lab / AutoMLWhitebox
  Tool for whitebox (binning + logreg) model development
  ☆77Updated 3 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆487Updated last year
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• DenisVorotyntsev / CategoricalEncodingBenchmark
  Benchmarking different approaches for categorical encoding for tabular data
  ☆172Updated 3 years ago
• sb-ai-lab / Py-Boost
  Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training
  ☆181Updated last week
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆521Updated 3 months ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆370Updated 2 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆150Updated 2 months ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆323Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆248Updated last year
• HSE-LAMBDA / roerich
  Change point detection
  ☆69Updated last year
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆418Updated 2 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆140Updated last year
• ITMO-NSS-team / fedot-examples
  The repository contains examples for the AutoML framework FEDOT
  ☆49Updated last year
• sberbank-ai-lab / Py-Boost
  Python based GBDT implementation
  ☆29Updated 3 years ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆31Updated 8 years ago
• damianhorna / multi-imbalance
  Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
  ☆78Updated last year
• SylwiaOliwia2 / xgboost-AutoTune
  Wrap-up to automatically tune xgboost in Python.
  ☆80Updated 3 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆243Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• aimclub / FEDOT
  Automated modeling and machine learning framework FEDOT
  ☆676Updated this week
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated 2 years ago
• analyticalmindsltd / smote_variants
  A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…
  ☆666Updated last year