Alternatives and similar repositories for PyImpetus

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

• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• jaswinder9051998 / zoofs
  zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…
  ☆249Updated 2 months ago
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆216Updated last year
• lmassaron / deep_learning_for_tabular_data
  An updated (2025) guide to Deep Learning for tabular data, comparing a fine-tuned Keras 3 (PyTorch backend) DNN and an Optuna-optimized…
  ☆46Updated 3 weeks ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆185Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆250Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• ryancheunggit / tabular_dae
  ☆52Updated 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated 2 years ago
• atif-hassan / Regression_ReSampling
  A python library for repurposing traditional classification-based resampling techniques for regression tasks
  ☆16Updated 5 years ago
• tvdboom / ATOM
  Automated Tool for Optimized Modelling
  ☆159Updated last year
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆107Updated 3 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆152Updated 4 months ago
• ctlab / ITMO_FS
  Feature selection library in python
  ☆147Updated last month
• ptuls / tabnet-modified
  Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
  ☆62Updated 2 years ago
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆84Updated 2 years ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆140Updated 5 months ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 years ago
• DanilZherebtsov / verstack
  ☆101Updated 2 weeks ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• MaxHalford / creme
  One of the ancestors of River
  ☆37Updated 4 years ago
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆96Updated last year
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆245Updated last year
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated 3 weeks ago
• AlliedToasters / dfencoder
  ☆131Updated 3 years ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆579Updated last year
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 6 months ago