network-pruning

There are 2 repositories under network-pruning topic.

VainF / Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
channel-pruning cvpr2023 depgraph efficient-deep-learning model-compression network-pruning pruning structural-pruning structured-pruning
Language:Python 2480
Eric-mingjie / rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
convolutional-neural-networks network-pruning deep-learning pytorch
Language:Python 1502
MingSun-Tse / Efficient-Deep-Learning
Collection of recent methods on (deep) neural network compression and acceleration.
deep-learning deep-neural-networks efficient-deep-learning knowledge-distillation model-compression network-pruning
915
locuslab / wanda
A simple and effective LLM pruning approach.
large-language-models network-pruning
Language:Python 576
rahulvigneswaran / Lottery-Ticket-Hypothesis-in-Pytorch
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 adapted to any model/dataset.
deep-learning iclr2019 lottery lottery-ticket-hypothesis network-pruning pruning python pytorch pytorch-implementation winning-ticket
Language:Python 318
yikaiw / CEN
[TPAMI 2023, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"
depth-estimation image-translation network-pruning nyudv2 refinenet rgbd rgbd-segmentation semantic-segmentation taskonomy
Language:Python 281
yehuitang / Pruning
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 Network Pruning” (CVPR 2021).
model-compression network-pruning
Language:Python 239
changlin31 / DS-Net
(CVPR 2021, Oral) Dynamic Slimmable Network
dynamic-networks pruning network-pruning dynamic-pruning model-compression efficient-inference
Language:Python 225
meijieru / AtomNAS
[ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
distributed imagenet network-pruning neural-architecture-search
Language:Python 224
xingyul / sparse-winograd-cnn
Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
convolutional-neural-networks winograd tensorflow convolution network-pruning
Language:Python 188
VainF / Diff-Pruning
[NeurIPS 2023] Structural Pruning for Diffusion Models
diffusion-models network-pruning efficient-deep-learning model-compression structured-pruning pytorch
Language:Python 145
HankYe / PAGCP
PAGCP for the compression of YOLOv5
coco deep-learning model-compression multitask network-pruning pascal-voc pruning pytorch yolov5
Language:Python 114
alecwangcq / EigenDamage-Pytorch
Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
network-pruning deep-learning machine-learning fisher-matrix pytorch
Language:Python 111
namhoonlee / snip-public
SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
network-pruning
Language:Python 107
ziplab / SPViT
[TPAMI 2024] This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.
model-compression network-pruning vision-transformer
Language:Python 104
haimengzhao / CAE-ADMM
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
admm pytorch image-compression model-architecture network-pruning autoencoders lossy-image-compression
Language:Python 46
MingSun-Tse / Why-the-State-of-Pruning-so-Confusing
[Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
network-pruning efficient-deep-learning model-compression sparsity
40
alinlab / lookahead_pruning
Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)
network-pruning
Language:Python 33
bobye / batchnorm_prune
Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"
deep-learning batch-normalization network-pruning tensorflow
Language:Python 30
chumingqian / Model_Compression_For_YOLOV3-V4
In this repository using the sparse training, group channel pruning and knowledge distilling for YOLOV4,
knowledge-distillation network-pruning yolov3 yolov4 yolov4-pytorch
Language:Python 29
MingSun-Tse / TPP
[ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
efficient-deep-learning network-pruning model-compression regularization trainability trainability-preserving-pruning
Language:Python 29
lehduong / kesi
Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)
network-pruning pytorch deep-learning convolutional-neural-networks image-net structured-pruning unstructured-pruning filter-pruning weight-pruning iterative-pruning
Language:Jupyter Notebook 26
statsml / compress-net-notes
quantized-training convolutional-neural-networks compression network-pruning network-quantization
20
frankwang345 / pruning-from-scratch
pruning network-pruning imagenet mobilenetv2 resnet50 cifar10 mobilenetv1
Language:Python 19
ivclab / Multistage_Pruning
Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," International Joint Conference on Neural Networks, IJCNN 2020, July 2020.
pytorch network-pruning deep-neural-networks filter-pruning channel-pruning mobilenet depthwise-separable-convolutions model-compression efficient-inference
Language:Python 16
ZJCV / SSL
[NIPS 2016] Learning Structured Sparsity in Deep Neural Networks
structured-sparsity-learning zcls pytorch pruning network-pruning vggnet resnet layer-pruning channel-pruning filter-pruning
Language:Python 14
lmbxmu / CLR-RNF
Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
network-pruning acceleration compression
Language:Python 11
pvti / CORING
:ring: Efficient tensor decomposition-based filter pruning
filter-pruning network-compression structured-pruning tensor-decomposition tinyml hosvd tucker-decomposition network-pruning
Language:Jupyter Notebook 11
sseung0703 / Autoslim_TF2
Implementation of Autoslim using Tensorflow2
tensorflow2 slimmable-networks network-pruning architecture-search
Language:Python 11
XUHUAKing / ssd.pruning.pytorch
Improved Implementation of Single Shot MultiBox Detector, RefineDet and Network Optimization in Pytorch 07/2018
pytorch ssd object-detection vgg-basenet resnet-basenet refinedet network-pruning mobilenet-basenet
Language:Python 10
mahkons / Lottery-ticket-hypothesis
This repository contains a Pytorch implementation of the article "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" and an application of this hypothesis to reinforcement learning
lottery-ticket-hypothesis reinforcement-learning pytorch dqn atari network-pruning
Language:Python 9
tarujg / keras-deep-compression
Reducing the computational overhead of Deep CNNs through parameter pruning and tensor decomposition.
keras deep-compression tensor-decomposition network-pruning
Language:Python 9
ZJCV / NetworkSlimming
[ICCV 2017] Learning Efficient Convolutional Networks through Network Slimming
resnet vggnet mobilenet network-slimming pytorch zcls network-pruning channel-pruning
Language:Python 6
lscgx / FSM
The official code for our ACCV2022 poster paper: Network Pruning via Feature Shift Minimization.
network-pruning
Language:Python 5
rist-ro / training-neural-connectivities
Pruning neural networks directly with back-propagation
neural-networks convolutional-neural-networks network-pruning lenet-300-100 deep-learning pruning keras tensorflow resnet
Language:Python 3
twcmchang / CP-CNN
Channel-Prioritized Convolutional Neural Networks for Sparsity and Multi-fidelity
compression-algorithm convolutional-neural-networks network-pruning efficient-inference
Language:Python 2

network-pruning

VainF / Torch-Pruning

Eric-mingjie / rethinking-network-pruning

MingSun-Tse / Efficient-Deep-Learning

locuslab / wanda

rahulvigneswaran / Lottery-Ticket-Hypothesis-in-Pytorch

yikaiw / CEN

yehuitang / Pruning

changlin31 / DS-Net

meijieru / AtomNAS

xingyul / sparse-winograd-cnn

VainF / Diff-Pruning

HankYe / PAGCP

alecwangcq / EigenDamage-Pytorch

namhoonlee / snip-public

ziplab / SPViT

haimengzhao / CAE-ADMM

MingSun-Tse / Why-the-State-of-Pruning-so-Confusing

alinlab / lookahead_pruning

bobye / batchnorm_prune

chumingqian / Model_Compression_For_YOLOV3-V4

MingSun-Tse / TPP

lehduong / kesi

statsml / compress-net-notes

frankwang345 / pruning-from-scratch

ivclab / Multistage_Pruning

ZJCV / SSL

lmbxmu / CLR-RNF

pvti / CORING

sseung0703 / Autoslim_TF2

XUHUAKing / ssd.pruning.pytorch

mahkons / Lottery-ticket-hypothesis

tarujg / keras-deep-compression

ZJCV / NetworkSlimming

lscgx / FSM

rist-ro / training-neural-connectivities

twcmchang / CP-CNN