interpretml / DiCELinks
Generate Diverse Counterfactual Explanations for any machine learning model.
β1,473Updated 4 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 π for concise, transparent, and accurate predictive modeling (sklearn-compatible).β1,522Updated last week
- A Python package for modular causal inference analysis and model evaluationsβ799Updated 7 months ago
- Algorithms for explaining machine learning modelsβ2,589Updated last month
- Interpretability and explainability of data and machine learning modelsβ1,746Updated 9 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.β2,397Updated last year
- OmniXAI: A Library for eXplainable AIβ958Updated last year
- Code for "High-Precision Model-Agnostic Explanations" paperβ811Updated 3 years ago
- XAI - An eXplainability toolbox for machine learningβ1,208Updated 4 years ago
- Bias Auditing & Fair ML Toolkitβ738Updated 2 weeks ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithmsβ297Updated 2 years ago
- moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021)β1,451Updated last month
- A Python package to assess and improve fairness of machine learning models.β2,168Updated this week
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world dβ¦β434Updated 9 months ago
- python partial dependence plot toolboxβ861Updated last year
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, β¦β678Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalMLβ785Updated 5 months ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)β840Updated 3 years ago
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Infβ¦β558Updated last month
- Python implementation of the rulefit algorithmβ425Updated 2 years ago
- Fast SHAP value computation for interpreting tree-based modelsβ546Updated 2 years ago
- A machine learning package for streaming data in Python. The other ancestor of River.β786Updated 2 years ago
- machine learning with logical rules in Pythonβ651Updated last year
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.β1,208Updated last month
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.β1,491Updated last week
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.β659Updated 10 months ago
- β918Updated 2 years ago
- β513Updated 11 months ago
- LOcal Rule-based Exlanationsβ54Updated 2 years ago
- A collection of research materials on explainable AI/MLβ1,587Updated 2 months ago
- Extra blocks for scikit-learn pipelines.β1,372Updated 2 weeks ago