network-pruning topic

[ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

meijieru

Collection of recent methods on (deep) neural network compression and acceleration.

MingSun-Tse

[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

VainF

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adap...

rahulvigneswaran

[TPAMI 2022, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"

yikaiw

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

Eric-mingjie

Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020) and “Manifold Regularized Dynamic Netwo...

yehuitang

(CVPR 2021, Oral) Dynamic Slimmable Network

changlin31

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

xingyul

Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934

alecwangcq