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The Top 23 Machine Learning Explainable Ai Open Source Projects

Open source projects categorized as Machine Learning Explainable Ai
Categories > Explainable Ai
Categories > Machine Learning > Machine Learning
Recourse ⭐ 12
Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
most recent commit 3 years ago
Mllp ⭐ 12
The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
most recent commit 2 years ago
Hc_ml ⭐ 12
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
most recent commit 4 years ago
Vbridge ⭐ 12
Visualization for Explainable Healthcare Models
most recent commit 2 years ago
Hroch ⭐ 11
Extremly fast c++/python symbolic regression library based on parallel local search.
total releases 17most recent commit 3 months ago
Cnn_explainer ⭐ 11
Making CNNs interpretable.
most recent commit 3 years ago
Compare Xai ⭐ 10
A Unified Approach to Evaluate and Compare Explainable AI methods
most recent commit a year ago
Pytolemaic ⭐ 10
Toolbox for analysis of model's quality and model's description. For further details see
total releases 56most recent commit a year ago
Survey Attention Medical Imaging ⭐ 10
Implementation of the paper "A survey on attention mechanisms for medical applications: are we moving towards better algorithms?" by Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira and Jaime S. Cardoso.
most recent commit 2 years ago
Label Free Xai ⭐ 10
This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For more details, please read our ICML 2022 paper: 'Label-Free Explainability for Unsupervised Models'.
most recent commit 2 years ago
Article Information 2019 ⭐ 10
Article for Special Edition of Information: Machine Learning with Python
most recent commit 4 years ago
Slisemap ⭐ 9
SLISEMAP: Combining supervised dimensionality reduction with local explanations
most recent commit a year ago
Quantified Sleep ⭐ 9
Quantified Sleep: Machine learning techniques for observational n-of-1 studies.
most recent commit 3 years ago
Responsible Ai Workshop ⭐ 9
Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice
most recent commit 2 years ago
Transparency Guidelines ⭐ 8
Minimize the risks and maximize the benefits of using data-driven technologies within government processes, programs and services through transparency. | Réduire les risques et à maximiser les avantages liés à l’utilisation de technologies axées sur les données, dans le cadre de processus, programmes et services gouvernementaux, grâce à la transparence.
most recent commit 3 years ago
Atgfe ⭐ 8
Automated Transparent Genetic Feature Engineering
total releases 61most recent commit 4 years ago
Iai Clinical Decision Rule ⭐ 8
Interpretable clinical decision rules for predicting intra-abdominal injury.
most recent commit 10 months ago
U Cam ⭐ 8
Visual Explanation using Uncertainty based Class Activation Maps
most recent commit 4 years ago
Explabox ⭐ 8
Explore/examine/explain/expose your model with the explabox!
most recent commit a year ago
Anchorsonr ⭐ 8
Implementation of the Anchors algorithm: Explain black-box ML models
most recent commit 4 years ago
Xai Analytics ⭐ 7
XAI-Analytics is a tool that opens the black-box of machine learning. It helps the user to understand the decision-making process of machine learning models.
most recent commit a year ago
Localice ⭐ 7
Local Individual Conditional Expectation (localICE) is a local explanation approach from the field of eXplainable Artificial Intelligence (XAI)
total releases 1most recent commit 4 years ago
Counterfactual Explanations Mdp ⭐ 7
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
most recent commit 2 years ago
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