Alternatives and similar repositories for AutoFeatSelect

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

• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 4 months ago
• yuenshingyan / MissForest
  Arguably the best missing values imputation method.
  ☆69Updated 6 months ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆138Updated 3 months ago
• PriorLabs / tabpfn-extensions
  Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
  ☆150Updated this week
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• OpenTabular / DeepTabular
  Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…
  ☆242Updated 2 weeks ago
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆197Updated 3 weeks ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆67Updated last month
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆111Updated 2 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆28Updated last year
• Brett-Kennedy / ClassificationThresholdTuner
  Tool to set the thresholds for classification problems and to visualize the implications of potential thresholds.
  ☆37Updated 8 months ago
• autogluon / autogluon-assistant
  Multi-Agent System Powered by LLMs for End-to-end Multimodal ML Automation
  ☆147Updated this week
• sdv-dev / DeepEcho
  Synthetic Data Generation for mixed-type, multivariate time series.
  ☆116Updated this week
• ermshaua / claspy
  ClaSPy: A Python package for time series segmentation.
  ☆115Updated 2 months ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆85Updated 2 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆54Updated 10 months ago
• Nixtla / datasetsforecast
  Datasets for time series forecasting
  ☆98Updated last week
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆82Updated 10 months ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• Valdecy / pyInterDemand
  A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
  ☆36Updated last year
• Matt-OP / fasteda
  A python module that provides a quick way to overview a DataFrame
  ☆49Updated 2 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 11 months ago
• mikekeith52 / scalecast
  The practitioner's forecasting library
  ☆341Updated 3 weeks ago
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated last year
• tblume1992 / MFLES
  ☆115Updated last year
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆422Updated 10 months ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆86Updated 2 years ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆319Updated last year
• takechanman1228 / Effective-Uplift-Modeling
  ☆22Updated last year
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆83Updated 2 years ago