interpretable topic
interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
modelStudio
📍 Interactive Studio for Explanatory Model Analysis
pyTsetlinMachine
Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranulari...
xai-iml-sota
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
nn_interpretability
Pytorch implementation of various neural network interpretability methods
interpretable-adv
Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.
VoG_Graph_Summarization
Summarization of static graphs using the Minimum Description Length principle
interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
iaiabl
This code repository is associated with the paper "A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography." Nature Machine Intelligence, 2021. https:/...