TrustyAI Explainability Toolkit
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Updated
Oct 4, 2024 - Java
TrustyAI Explainability Toolkit
Supporting models and data to doi 10.1021/acs.jcim.1c01163
Methods to interpret machine learning models/black box which can help us understand how it’s making decisions.
Hacking a Neural Network to understand what concepts the network learns in order to solve a logic task.
Ths repo has the list of Interesting Literature in the domain of XAI
Skin cancer classification using Transfer Learning and explainable AI
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