Alternatives and similar repositories for CBM

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

• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆93Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆40Updated 2 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆166Updated last week
• 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
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• saattrupdan / doubt
  Bringing back uncertainty to machine learning.
  ☆53Updated 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
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 7 months ago
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆51Updated last year
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆39Updated 2 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last week
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated 2 years ago
• tunguz / TabularBenchmarks
  ☆202Updated last week
• BCG-X-Official / sklearndf
  DataFrame support for scikit-learn.
  ☆63Updated 2 weeks ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆197Updated 2 years ago
• tblume1992 / MFLES
  ☆115Updated last year
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆242Updated last week
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 5 months ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• AnotherSamWilson / fastshap
  Batch shap calculations.
  ☆31Updated 2 years ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 7 months ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 2 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated 2 years ago
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆36Updated last week