Alternatives and similar repositories for shap

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

• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆11,921Updated 11 months ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,440Updated last month
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆7,006Updated 2 weeks ago
• optuna / optuna
  A hyperparameter optimization framework
  ☆12,197Updated last week
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,034Updated 2 weeks ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,605Updated this week
• christophM / interpretable-ml-book
  Book about interpretable machine learning
  ☆5,009Updated 3 months ago
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,354Updated 4 months ago
• mlflow / mlflow
  Open source platform for the machine learning lifecycle
  ☆21,068Updated this week
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,481Updated 2 weeks ago
• snorkel-team / snorkel
  A system for quickly generating training data with weak supervision
  ☆5,878Updated last year
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,063Updated last week
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,772Updated 2 months ago
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,866Updated last week
• keras-team / autokeras
  AutoML library for deep learning
  ☆9,239Updated 6 months ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,527Updated 3 weeks ago
• ashishpatel26 / Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
  Tools to Design or Visualize Architecture of Neural Network
  ☆4,925Updated last year
• parrt / dtreeviz
  A python library for decision tree visualization and model interpretation.
  ☆3,078Updated 3 months ago
• microsoft / nni
  An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…
  ☆14,211Updated last year
• bayesian-optimization / BayesianOptimization
  A Python implementation of global optimization with gaussian processes.
  ☆8,300Updated this week
• ResidentMario / missingno
  Missing data visualization module for Python.
  ☆4,109Updated last year
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,290Updated this week
• py-why / dowhy
  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…
  ☆7,565Updated last week
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,450Updated 2 weeks ago
• modin-project / modin
  Modin: Scale your Pandas workflows by changing a single line of code
  ☆10,204Updated this week
• lmcinnes / umap
  Uniform Manifold Approximation and Projection
  ☆7,833Updated last month
• d2l-ai / d2l-en
  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …
  ☆26,191Updated 10 months ago
• flairNLP / flair
  A very simple framework for state-of-the-art Natural Language Processing (NLP)
  ☆14,211Updated last week
• statsmodels / statsmodels
  Statsmodels: statistical modeling and econometrics in Python
  ☆10,774Updated last week
• vega / altair
  Declarative visualization library for Python
  ☆9,862Updated last month