Alternatives and similar repositories for interpret

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

• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,557Updated this week
• jphall663 / awesome-machine-learning-interpretability
  A curated list of awesome responsible machine learning resources.
  ☆3,865Updated 2 weeks ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,775Updated 5 months ago
• EthicalML / xai
  XAI - An eXplainability toolbox for machine learning
  ☆1,198Updated 3 years ago
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆24,373Updated 2 weeks ago
• Trusted-AI / AIX360
  Interpretability and explainability of data and machine learning models
  ☆1,732Updated 6 months ago
• fairlearn / fairlearn
  A Python package to assess and improve fairness of machine learning models.
  ☆2,118Updated this week
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,375Updated 7 months ago
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,446Updated 2 months ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,537Updated 2 weeks ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,496Updated 3 weeks ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,114Updated last month
• microsoft / hummingbird
  Hummingbird compiles trained ML models into tensor computation for faster inference.
  ☆3,474Updated 2 months ago
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆11,991Updated last year
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆7,037Updated 3 weeks ago
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,067Updated 3 months ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,468Updated 3 months ago
• MAIF / shapash
  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
  ☆2,950Updated last month
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,771Updated 2 weeks ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,461Updated 3 months ago
• christophM / interpretable-ml-book
  Book about interpretable machine learning
  ☆5,076Updated 5 months ago
• parrt / dtreeviz
  A python library for decision tree visualization and model interpretation.
  ☆3,095Updated 6 months ago
• mljar / mljar-supervised
  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
  ☆3,200Updated 2 months ago
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,404Updated last week
• oegedijk / explainerdashboard
  Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
  ☆2,444Updated last month
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,127Updated last week
• snorkel-team / snorkel
  A system for quickly generating training data with weak supervision
  ☆5,916Updated last year
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆863Updated last year
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation
  ☆1,440Updated last month
• PAIR-code / what-if-tool
  Source code/webpage/demos for the What-If Tool
  ☆973Updated 3 weeks ago