GitHub / HelloZicky / DUET
[WWW2023] PyTorch implementation of DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HelloZicky%2FDUET
PURL: pkg:github/HelloZicky/DUET
Stars: 20
Forks: 1
Open issues: 0
License: gpl-3.0
Language: Python
Size: 2.96 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: over 1 year ago
Pushed at: almost 2 years ago
Last synced at: over 1 year ago
Commit Stats
Commits: 4
Authors: 3
Mean commits per author: 1.33
Development Distribution Score: 0.5
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/HelloZicky/DUET
Topics: computer-vision, device-cloud, device-cloud-collaboration, device-generalization, domain-adaptation, domain-generalization, dynamic-parameter, edge-cloud, facial-expression-recognition, hypernetwork, image-classification, parameter-generation, personalization, recommendation-system, sequential-recommendation