Pytorch implementation of our paper under review - Spatial Re-parameterization for N:M Sparsity

YuxinZhang

Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference

Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs

Pytorch implementation of our paper under review - Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need

Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models

Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"

Pytorch implementation of our paper accepted by ICLR 2023 -- "Real-time Image Demoireing on Mobile Devices".

Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity

Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box

Apply our pruned model to faster-rcnn and achieved better results

Speed up vital tracker using pruning or quantification method