interpretml / DiCELinks
Generate Diverse Counterfactual Explanations for any machine learning model.
β1,454Updated 3 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).β1,505Updated last month
- Interpretability and explainability of data and machine learning modelsβ1,742Updated 7 months ago
- Bias Auditing & Fair ML Toolkitβ733Updated 2 weeks ago
- A Python package for modular causal inference analysis and model evaluationsβ795Updated 6 months ago
- Algorithms for explaining machine learning modelsβ2,570Updated this week
- OmniXAI: A Library for eXplainable AIβ951Updated last year
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world dβ¦β434Updated 8 months ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalMLβ784Updated 4 months ago
- Code for "High-Precision Model-Agnostic Explanations" paperβ807Updated 3 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.β2,380Updated last year
- XAI - An eXplainability toolbox for machine learningβ1,202Updated 3 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithmsβ294Updated 2 years ago
- A Python package to assess and improve fairness of machine learning models.β2,134Updated last week
- Python implementation of the rulefit algorithmβ426Updated 2 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.β1,475Updated this week
- python partial dependence plot toolboxβ861Updated last year
- Fast SHAP value computation for interpreting tree-based modelsβ544Updated 2 years ago
- A machine learning package for streaming data in Python. The other ancestor of River.β784Updated last year
- machine learning with logical rules in Pythonβ647Updated last year
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.β1,198Updated last week
- moDel Agnostic Language for Exploration and eXplanationβ1,442Updated this week
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, β¦β680Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.β635Updated last year
- A Python library for dynamic classifier and ensemble selectionβ492Updated last year
- A collection of research materials on explainable AI/MLβ1,566Updated 3 weeks ago
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Infβ¦β548Updated this week
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.β580Updated last year
- Interesting resources related to XAI (Explainable Artificial Intelligence)β839Updated 3 years ago
- For calculating global feature importance using Shapley values.β277Updated last week
- Human-explainable AI.β525Updated last month