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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
Fit interpretable models. Explain blackbox machine learning.
Created
2019-05-03
3,158 commits to develop branch, last one 23 hours ago
A curated list of awesome responsible machine learning resources.
r
xai
python
awesome
fairness
ai-safety
secure-ml
reliable-ai
awesome-list
data-science
transparency
explainable-ml
interpretability
interpretable-ai
interpretable-ml
machine-learning
interpretable-machine-learning
privacy-enhancing-technologies
machine-learning-interpretability
privacy-preserving-machine-learning
Created
2018-06-21
1,043 commits to master branch, last one a day ago
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
Interpretability and explainability of data and machine learning models
Created
2019-07-11
582 commits to master branch, last one 2 months ago
moDel Agnostic Language for Exploration and eXplanation
Created
2018-02-18
677 commits to master branch, last one 9 days 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
Generate Diverse Counterfactual Explanations for any machine learning model.
Created
2019-05-02
779 commits to main branch, last one about a month ago
XAI - An eXplainability toolbox for machine learning
Created
2019-01-11
91 commits to master branch, last one 2 years ago
This repository has no description...
Created
2017-12-27
86 commits to master branch, last one 3 years ago
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
👋 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 Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
nlp
xai
data-mining
text-mining
text-labeling
ss3-classifier
interpretability
interpretable-ml
machine-learning
text-classification
early-classification
artificial-intelligence
document-categorization
document-classification
sentence-classification
multilabel-classification
machine-learning-algorithms
natural-language-processing
interpretable-machine-learning
explainable-artificial-intelligence
Created
2019-11-11
402 commits to master branch, last one 9 months ago
📍 Interactive Studio for Explanatory Model Analysis
Created
2019-07-10
361 commits to master branch, last one 9 months ago
Neural network visualization toolkit for tf.keras
Created
2019-10-31
395 commits to master branch, last one 2 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
💡 Adversarial attacks on explanations and how to defend them
Created
2020-07-30
121 commits to master branch, last one 2 months ago
Repository for the Explainable Deep One-Class Classification paper
Created
2020-07-05
40 commits to master branch, last one 9 months ago
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
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
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
Created
2018-09-05
463 commits to master branch, last one about a year ago
[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
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
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Created
2022-04-29
87 commits to master branch, last one about a year ago