YI-LIN SUNG

pytorch-adversarial-training. PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

Ladder-Side-Tuning. PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"

VL_adapter. PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)

gnn_few_shot_cifar100. This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)

vl-merging. PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"

TetrisBattle. Reproduced the popular Facebook game -- Tetris Battle! Also provided openAI environments.

rsq. Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"

ECoFLaP. Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)

lightning-semi-supervised-learning. Implementation of semi-supervised learning using PyTorch Lightning

sparse_update. Python

ylsung.github.io. https://ylsung.github.io/

ADLxMLDS2017. Python

Taipei_construction_app. C++

MoE_LLaVA_lora. Python

ecoflap_page. JavaScript