Alternatives and similar repositories for dython

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

• akanz1 / klib
  Easy to use Python library of customized functions for cleaning and analyzing data.
  ☆521Updated 2 months ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆727Updated last year
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,380Updated last week
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆469Updated 2 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated 2 years ago
• AutoViML / Auto_ViML
  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…
  ☆546Updated last year
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆511Updated last month
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆583Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆553Updated 2 years ago
• chris1610 / sidetable
  sidetable builds simple but useful summary tables of your data
  ☆392Updated 3 years ago
• AutoViML / featurewiz
  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…
  ☆677Updated 11 months ago
• ing-bank / popmon
  Monitor the stability of a Pandas or Spark dataframe ⚙︎
  ☆510Updated 3 weeks ago
• wwwjk366 / gower
  Python package for Gower distance
  ☆82Updated last year
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆843Updated 2 weeks ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆862Updated last year
• alteryx / compose
  A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…
  ☆510Updated 10 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆659Updated 2 years ago
• eli5-org / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆324Updated 9 months ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,172Updated 4 months ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆153Updated 9 months ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated last year
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆172Updated 3 weeks ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆856Updated 11 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆643Updated last year
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆623Updated 10 months ago
• koaning / human-learn
  Natural Intelligence is still a pretty good idea.
  ☆822Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆402Updated 3 months ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆662Updated last year