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Fit interpretable models. Explain blackbox machine learning.
Created
2019-05-03
3,509 commits to develop branch, last one 21 hours ago
moDel Agnostic Language for Exploration and eXplanation
Created
2018-02-18
687 commits to master branch, last one 2 months ago
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Created
2018-03-14
169 commits to master branch, last one about a year ago
📍 Interactive Studio for Explanatory Model Analysis
Created
2019-07-10
361 commits to master branch, last one about a year ago
💡 Adversarial attacks on explanations and how to defend them
Created
2020-07-30
124 commits to master branch, last one 3 days ago
The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classif...
Created
2021-09-30
10 commits to main branch, last one 8 months ago
Model Agnostics breakDown plots
Created
2017-11-18
102 commits to master branch, last one 8 months ago
A Julia package for interpretable machine learning with stochastic Shapley values
Created
2020-01-23
118 commits to master branch, last one 2 years ago
Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
Created
2018-10-17
246 commits to master branch, last one about a year ago
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Created
2020-07-30
232 commits to master branch, last one 10 months ago
[NeurIPS'24 Spotlight] A comprehensive benchmark & codebase for Image manipulation detection/localization.
Created
2024-06-10
94 commits to main branch, last one 5 days ago
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
iml
xai
explainable
researchers
explaining-ai
interpretable
explainable-ml
interpretability
machine-learning
human-in-the-loop
explainable-models
explanation-methods
interpretable-models
interpretable-learning
model-interpretability
deep-learning-visualization
interactive-machine-learning
interpretable-machine-learning
human-in-the-loop-machine-learning
explainable-artificial-intelligence
Created
2019-06-27
102 commits to master branch, last one 2 years ago
An interactive framework to visualize and analyze your AutoML process in real-time.
Created
2021-05-04
949 commits to main branch, last one 3 months ago
Unofficial implementation of MVSS-Net (ICCV 2021) with Pytorch including training code.
Created
2023-01-11
30 commits to main branch, last one about a year ago
Effector - a Python package for global and regional effect methods
Created
2022-03-31
345 commits to main branch, last one 6 months ago