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

LaF focuses on the comparion testing of multiple deep learning models without manual labeling.

STARS Project: Example `simpy` model documentation using JupyterBook, GitHub Pages, and STRESS

A treatment simulation model implemented in CiW

Reusing Convolutional Neural Network Models through Modularization and Composition (TOSEM'23)

Code, data, and logs for paper (IJCAI 2023) 'Improving Heterogeneous Model Reuse by Density Estimation'

Patching Weak Convolutional Neural Network Models through Modularization and Composition. (ASE'22)

Modularizing while Training: A New Paradigm for Modularizing DNN Models (ICSE'24)

Reusing Deep Neural Network Models through Model Re-engineering (ICSE'23)

The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse

Knowledge Amalgamation Engine

A curated list of Composable AI methods: Building AI system by composing modules.

[NeurIPS2022] Deep Model Reassembly