Alternatives and similar repositories for data-drift-detector

Users that are interested in data-drift-detector are comparing it to the libraries listed below

• Shivanandroy / CategoricalEmbedder
  Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
  ☆25Updated 6 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆154Updated 8 months ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated 2 years ago
• numeristical / resources
  A collection of resources for learning and research.
  ☆97Updated 7 months ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• 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
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated 2 years ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆57Updated 4 years ago
• gdmarmerola / random-stuff
  Random stuff I've been working on
  ☆31Updated last year
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆106Updated 10 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated 2 months ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆56Updated last year
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 10 months ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆172Updated 2 weeks ago
• tunguz / TabularBenchmarks
  ☆203Updated 2 months ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 9 months ago
• matthiasanderer / m5-accuracy-competition
  My second place solution in the M5 Accuracy competition
  ☆73Updated 5 years ago
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆62Updated last year
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆142Updated 8 months ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆37Updated 2 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• 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…
  ☆47Updated 4 months ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆148Updated 2 years ago
• wwwjk366 / gower
  Python package for Gower distance
  ☆82Updated last year
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year