Project Page for "Multi-Task Dense Prediction via Mixture of Low-Rank Experts"

[NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning

Collection of awesome parameter-efficient fine-tuning resources.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

Must-read papers on graph neural networks (GNN)

南京大学计算机系统基础PA和Lab

一个大麦网的抢票程序