GitHub

MFTCoder: High Accuracy and Efficiency Multi-task Fine-Tuning Framework

🔥🔥🔥 [2024/10/31] We released MFTCoder v0.5 mainly for MFTCoder-accelerate, which is now supporting preference alignment methods like DPO/RPO/ORPO in the new xxpo module, adding full-parameter ...
GitHub

The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation".

Existing parameter-efficient fine-tuning (PEFT) methods have achieved significant success on vision transformers (ViTs) adaptation by improving parameter efficiency. However, the exploration of ...
IEEE

Neural Network Based Self-Tuning PID Controller

Abstract: Ziegler and Nichols developed the well-known Ziegler-Nichols approach to modify PID controller coefficients in order to find conventional PID controller parameters that are adequate. This ...
IEEE

Quantitative Tuning of Active Disturbance Rejection Controller for FOPTD Model With Application to Power Plant Control

Abstract: Active disturbance rejection controller (ADRC) has achieved soaring success in motion controls featured by rapid dynamics. However, it turns obstreperous to implement it in the power plant ...