luuyin Goto Github PK

adaptive_svd

chase

Dynamic Sparsity Is Channel-Level Sparsity Learner [Neurips 2023]

chase_cifar

data_prune_nkd

generating-the-simple-shape-dataset

Generate a simple shape dataset with different colors, shapes, thicknesses, and heights.

html-resume

A single-page resume template completely typeset with HTML & CSS.

ilm-vp

[CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, and Sijia Liu

knowledge-elicitation-using-deep-metric-learning-and-psychometric-testing

Codes for "Knowledge Elicitation using Deep Metric Learning and Psychometric Testing" (ECML 2020)

lottery-pools

luuyin.github.io

owl

Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"

prune_opt

smc-bench

[ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, AJAY KUMAR JAISWAL, Zhangyang Wang

sup-tickets

tu-e-deeplearning-2020

Course materials for 2IMM10 (2019-GS4) Deep Learning, TU/e

tu-e-deeplearning-2021

Repository for Tutorials and Practicals part of the Deep Learning course at TU/e

tu-e-deeplearning-2022

Repository for Tutorials and Practicals part of the Deep Learning course at TU/e

wanda

A simple and effective LLM pruning approach.