[NeurIPS2022] Deep Model Reassembly
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Updated
Aug 29, 2023 - Python
[NeurIPS2022] Deep Model Reassembly
Knowledge Amalgamation Engine
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"
Reusing Deep Neural Network Models through Model Re-engineering (ICSE'23)
Modularizing while Training: A New Paradigm for Modularizing DNN Models (ICSE'24)
Patching Weak Convolutional Neural Network Models through Modularization and Composition. (ASE'22)
Reusing Convolutional Neural Network Models through Modularization and Composition (TOSEM'23)
LaF focuses on the comparion testing of multiple deep learning models without manual labeling.
The official code for "Model Spider: Learning to Rank Pre-Trained Models Efficiently" (NeurIPS 2023 Spotlight)
STARS Project: deploying a python DES model using streamlit
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