[WWW2023] PyTorch implementation of "DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization".

A simple Jenkins parameter plugin that offers a list of values based on a REST call response.

[WWW2024 (Oral)] PyTorch implementation of "Intelligent Model Update Strategy for Sequential Recommendation".

Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State-Guided Model Updating

一个为 pytest 设计的动态参数化插件，通过声明式参数生成器自动处理依赖解析和参数化，支持懒加载、缓存机制和多作用域管理，与现有 pytest 机制无缝集成，简化复杂测试场景的参数管理，提高测试效率和可维护性。