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Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Created 2017-05-31
221 commits to master branch, last one 3 days ago
249
2.3k
other
52
Algorithms for explaining machine learning models
Created 2019-02-26
663 commits to master branch, last one 11 days ago
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Created 2019-10-30
1,372 commits to master branch, last one 2 months ago
307
1.5k
apache-2.0
56
Interpretability and explainability of data and machine learning models
Created 2019-07-11
582 commits to master branch, last one 2 months ago
A collection of research materials on explainable AI/ML
Created 2020-02-16
433 commits to master branch, last one about a month ago
181
1.3k
mit
18
Generate Diverse Counterfactual Explanations for any machine learning model.
Created 2019-05-02
779 commits to main branch, last one about a month ago
This repository has no description...
Created 2017-12-27
86 commits to master branch, last one 3 years ago
137
792
unknown
58
Interesting resources related to XAI (Explainable Artificial Intelligence)
Created 2018-10-17
195 commits to master branch, last one 2 years 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
49
590
other
10
👋 Xplique is a Neural Networks Explainability Toolbox
Created 2020-04-05
471 commits to master branch, last one 5 months ago
Papers about explainability of GNNs
Created 2021-11-01
258 commits to main branch, last one 2 days ago
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
Created 2021-03-18
1,771 commits to main branch, last one 26 days ago
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms...
Created 2020-06-16
191 commits to master branch, last one 4 months ago
A curated list of awesome Fairness in AI resources
Created 2019-10-15
38 commits to master branch, last one 3 years ago
59
217
mit
10
Repository for the Explainable Deep One-Class Classification paper
Created 2020-07-05
40 commits to master branch, last one 9 months ago
27
216
apache-2.0
10
Visualization tool for Graph Neural Networks
Created 2021-08-30
36 commits to main branch, last one about a year ago
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Created 2022-09-09
151 commits to main branch, last one 10 months ago
32
178
other
14
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
Created 2020-11-10
232 commits to master branch, last one about a month ago
38
175
unknown
17
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
Created 2018-09-05
463 commits to master branch, last one about a year ago
17
141
mit
3
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
Created 2022-01-29
47 commits to main branch, last one 3 months ago
21
136
mit
6
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
Created 2022-10-04
337 commits to master branch, last one 4 days ago