Alternatives and similar repositories for FastTreeSHAP

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

• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆583Updated last year
• 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
• eli5-org / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆324Updated 9 months 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
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆643Updated last year
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆842Updated last week
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• facebookresearch / balance
  The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…
  ☆737Updated this week
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,380Updated this week
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆172Updated 2 weeks ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated 2 years ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,568Updated 2 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆402Updated 3 months ago
• shakedzy / dython
  A set of data tools in Python
  ☆511Updated 2 weeks ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆510Updated last month
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆246Updated this week
• ing-bank / popmon
  Monitor the stability of a Pandas or Spark dataframe ⚙︎
  ☆510Updated 2 weeks ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆855Updated 11 months ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆537Updated 3 weeks ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆215Updated 2 months ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆662Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆319Updated 2 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆153Updated 9 months ago
• koaning / doubtlab
  Doubt your data, find bad labels.
  ☆517Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆212Updated 3 months ago
• BCG-X-Official / facet
  Human-explainable AI.
  ☆529Updated 4 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆387Updated last year