Alternatives and similar repositories for DiCE

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

• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,500Updated last month
• Trusted-AI / AIX360
  Interpretability and explainability of data and machine learning models
  ☆1,735Updated 7 months ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,559Updated last week
• EthicalML / xai
  XAI - An eXplainability toolbox for machine learning
  ☆1,202Updated 3 years ago
• interpretml / interpret-community
  Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…
  ☆435Updated 7 months ago
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation
  ☆1,440Updated 2 months ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆792Updated 5 months ago
• pbiecek / xai_resources
  Interesting resources related to XAI (Explainable Artificial Intelligence)
  ☆840Updated 3 years ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆807Updated 3 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• salesforce / OmniXAI
  OmniXAI: A Library for eXplainable AI
  ☆952Updated last year
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆730Updated 4 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆645Updated last year
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,373Updated last year
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆295Updated 2 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated last year
• wangyongjie-ntu / Awesome-explainable-AI
  A collection of research materials on explainable AI/ML
  ☆1,556Updated 2 months 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, …
  ☆682Updated last year
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,464Updated last week
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆783Updated 3 months ago
• fairlearn / fairlearn
  A Python package to assess and improve fairness of machine learning models.
  ☆2,123Updated 2 weeks ago
• explainX / explainx
  Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…
  ☆439Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆542Updated 2 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆917Updated 2 years ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,781Updated 3 weeks ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆634Updated last year
• riccotti / LORE
  LOcal Rule-based Exlanations
  ☆53Updated last year
• scikit-multiflow / scikit-multiflow
  A machine learning package for streaming data in Python. The other ancestor of River.
  ☆783Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆275Updated last week
• SeldonIO / alibi-detect
  Algorithms for outlier, adversarial and drift detection
  ☆2,429Updated last week