interpretml / DiCELinks
Generate Diverse Counterfactual Explanations for any machine learning model.
☆1,492Updated 6 months ago
Alternatives and similar repositories for DiCE
Users that are interested in DiCE are comparing it to the libraries listed below
Sorting:
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,572Updated 2 months ago
- Algorithms for explaining machine learning models☆2,606Updated 3 months ago
- XAI - An eXplainability toolbox for machine learning☆1,224Updated 2 months ago
- Interpretability and explainability of data and machine learning models☆1,760Updated 11 months ago
- A Python package for modular causal inference analysis and model evaluations☆809Updated 10 months ago
- moDel Agnostic Language for Exploration and eXplanation☆1,455Updated 2 weeks ago
- OmniXAI: A Library for eXplainable AI☆963Updated last year
- Bias Auditing & Fair ML Toolkit☆747Updated this week
- Code for "High-Precision Model-Agnostic Explanations" paper☆813Updated 3 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,430Updated last year
- python partial dependence plot toolbox☆863Updated last year
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆438Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆298Updated 2 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆788Updated 2 months ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆681Updated last year
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆848Updated 3 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,509Updated last week
- A Python package to assess and improve fairness of machine learning models.☆2,201Updated last week
- A collection of research materials on explainable AI/ML☆1,609Updated last month
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆599Updated last month
- Python implementation of the rulefit algorithm☆440Updated 2 years ago
- Algorithms for outlier, adversarial and drift detection☆2,483Updated last month
- Human-explainable AI.☆529Updated last week
- Source code/webpage/demos for the What-If Tool☆990Updated 2 weeks ago
- Fast SHAP value computation for interpreting tree-based models☆553Updated 2 years ago
- LOcal Rule-based Exlanations☆54Updated 2 years ago
- For calculating global feature importance using Shapley values.☆284Updated last week
- machine learning with logical rules in Python☆659Updated 2 years ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆444Updated last year
- ☆521Updated last year