SeldonIO / alibi

Related projects ⓘ

Alternatives and complementary repositories for alibi

• SeldonIO / alibi-detect
  Algorithms for outlier, adversarial and drift detection
  ☆2,240Updated last week
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,356Updated 6 months ago
• Trusted-AI / AIX360
  Interpretability and explainability of data and machine learning models
  ☆1,626Updated 3 months ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,282Updated this week
• EthicalML / xai
  XAI - An eXplainability toolbox for machine learning
  ☆1,117Updated 3 years ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,396Updated this week
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆797Updated 2 years ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆845Updated 2 months ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆1,913Updated this week
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation
  ☆1,374Updated last month
• PAIR-code / what-if-tool
  Source code/webpage/demos for the What-If Tool
  ☆913Updated last month
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,758Updated 2 years ago
• jphall663 / awesome-machine-learning-interpretability
  A curated list of awesome responsible machine learning resources.
  ☆3,654Updated last week
• microsoft / hummingbird
  Hummingbird compiles trained ML models into tensor computation for faster inference.
  ☆3,352Updated 2 weeks ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆673Updated 4 months ago
• skrub-data / skrub
  Prepping tables for machine learning
  ☆1,207Updated this week
• fairlearn / fairlearn
  A Python package to assess and improve fairness of machine learning models.
  ☆1,940Updated this week
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,410Updated last month
• mljar / mljar-supervised
  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
  ☆3,046Updated 3 weeks ago
• salesforce / OmniXAI
  OmniXAI: A Library for eXplainable AI
  ☆874Updated 3 months ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆817Updated 9 months ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,271Updated this week
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,654Updated last week
• interpretml / interpret-community
  Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…
  ☆421Updated 5 months ago
• oegedijk / explainerdashboard
  Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
  ☆2,305Updated 3 months ago
• pbiecek / xai_resources
  Interesting resources related to XAI (Explainable Artificial Intelligence)
  ☆820Updated 2 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆904Updated last year
• wangyongjie-ntu / Awesome-explainable-AI
  A collection of research materials on explainable AI/ML
  ☆1,414Updated last week
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆4,918Updated this week
• MAIF / shapash
  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
  ☆2,736Updated last week