The official code for "Model Spider: Learning to Rank Pre-Trained Models Efficiently" (NeurIPS 2023 Spotlight)
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Updated
Apr 7, 2024 - Python
The official code for "Model Spider: Learning to Rank Pre-Trained Models Efficiently" (NeurIPS 2023 Spotlight)
A treatment simulation model implemented in CiW
Code, data, and logs for paper (IJCAI 2023) 'Improving Heterogeneous Model Reuse by Density Estimation'
Reusing Deep Neural Network Models through Model Re-engineering (ICSE'23)
STARS Project: Example `simpy` model documentation using JupyterBook, GitHub Pages, and STRESS
LaF focuses on the comparion testing of multiple deep learning models without manual labeling.
Patching Weak Convolutional Neural Network Models through Modularization and Composition. (ASE'22)
Reusing Convolutional Neural Network Models through Modularization and Composition (TOSEM'23)
Modularizing while Training: A New Paradigm for Modularizing DNN Models (ICSE'24)
The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"
STARS Project: deploying a python DES model using streamlit
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
A curated list of Composable AI methods: Building AI system by composing modules.
[NeurIPS2022] Deep Model Reassembly
Knowledge Amalgamation Engine
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