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 3 weeks ago
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆469Updated last year
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,365Updated this week
• dabl / dabl
  Data Analysis Baseline Library
  ☆728Updated 10 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆544Updated 2 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• AutoViML / Auto_ViML
  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…
  ☆542Updated 8 months ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆167Updated last week
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆580Updated last year
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆647Updated last year
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆494Updated last month
• eli5-org / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆312Updated 6 months ago
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆831Updated last week
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,165Updated 3 weeks 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…
  ☆671Updated 8 months ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 7 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆635Updated last year
• wwwjk366 / gower
  Python package for Gower distance
  ☆80Updated last year
• ing-bank / popmon
  Monitor the stability of a Pandas or Spark dataframe ⚙︎
  ☆506Updated last month
• koaning / human-learn
  Natural Intelligence is still a pretty good idea.
  ☆822Updated last year
• Neuraxio / Neuraxle
  The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…
  ☆613Updated 5 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆391Updated this week
• chris1610 / sidetable
  sidetable builds simple but useful summary tables of your data
  ☆393Updated 2 years ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆844Updated 8 months ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆153Updated 6 months ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated last year
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• MaxHalford / prince
  Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
  ☆1,405Updated 2 months ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,143Updated last month