Topic: interpretable Goto Github
Some thing interesting about interpretable
Some thing interesting about interpretable
interpretable,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://www.nature.com/articles/s42256-021-00423-x
User: alinajadebarnett
interpretable,Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.
User: aonotas
interpretable,Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget
Organization: cair
Home Page: https://pypi.org/project/pyTsetlinMachine/
interpretable,Visual explanations of supervised classification models
User: damoncrockett
interpretable,Summarization of static graphs using the Minimum Description Length principle
Organization: gemslab
Home Page: http://www.cs.cmu.edu/~dkoutra/papers/VoG.pdf
interpretable,Pytorch implementation of various neural network interpretability methods
User: hans66hsu
interpretable,💡 Adversarial attacks on explanations and how to defend them
User: hbaniecki
Home Page: https://doi.org/10.1016/j.inffus.2024.102303
interpretable,Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
User: jphall663
interpretable,SurvSHAP(t): Time-dependent explanations of machine learning survival models
Organization: mi2datalab
Home Page: https://doi.org/10.1016/j.knosys.2022.110234
interpretable,Trustworthy LoS Prediction Based on Multi-modal Data (AIME 2023)
Organization: mi2datalab
Home Page: https://doi.org/10.1007/978-3-031-34344-5_9
interpretable,📍 Interactive Studio for Explanatory Model Analysis
Organization: modeloriented
Home Page: https://doi.org/10.1007/s10618-023-00924-w
interpretable,Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
User: navdeep-g
interpretable,Maximal Linkability metric to evaluate the linkability of (protected) biometric templates. Paper: "Measuring Linkability of Protected Biometric Templates using Maximal Leakage", IEEE-TIFS, 2023.
User: otroshi
interpretable,Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms
User: pauljblazek
Home Page: https://rdcu.be/dy2Go
interpretable,Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
User: rehmanzafar
interpretable,graph neural networks, information theory, AI for Sciences
User: samyu0304
interpretable,Framework for material structure exploration
User: sinhvt3421
interpretable,This repo contains code for Invariant Grounding for Video Question Answering
User: yl3800
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