[NeurIPS2022] Deep Model Reassembly

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

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)

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

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.

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

A treatment simulation model implemented in CiW

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