2158824865's Stars
tyui592/Pruning_filters_for_efficient_convnets
PyTorch implementation of "Pruning Filters For Efficient ConvNets"
AlumLuther/PruningFilters
Pruning Filters For Efficient ConvNets, PyTorch Implementation.
RaphaelArkadyMeyerNYU/HutchPlusPlus
Code for Hutch++: Optimal Stochastic Trace Estimation
yaozhewei/HAP
amirgholami/PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
Zhen-Dong/HAWQ
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Eric-mingjie/network-slimming
Network Slimming (Pytorch) (ICCV 2017)
mengrang/Slimming-pytorch
Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”
Culturenotes/Network-Slimming
Network reproduction and expansion based on Learning Efficient Convolutional Networks Through Network Slimming (ICCV 2017).
Laicheng0830/Pytorch_Model_Quantization
OpenPose uses Pytorch for static quantization, saving, and loading of models
BBuf/model-compression
model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for binary value of feature(A))
jshilong/FisherPruning
Group Fisher Pruning for Practical Network Compression(ICML2021)
selkerdawy/filter-vs-layer-pruning
lmbxmu/CLR-RNF
Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
lucaslie/torchprune
A research library for pytorch-based neural network pruning, compression, and more.
liuzhuang13/slimming
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
foolwood/pytorch-slimming
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
VainF/Torch-Pruning
[CVPR 2023] DepGraph: Towards Any Structural Pruning
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
liuzechun/MetaPruning
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.
apxlwl/MobileNet-v2-pruning
Try out different pruning-approaches on lightweight Backbones.
Ascetics/Pytorch-Xception
复现Xception论文
CadeHu/Transfer-Learning
迁移学习(故障诊断)上的一点探索
wangfin/1DCNN_Fault_Detection
1DCNN Fault Detection(1DCNN的轴承故障诊断)
wangsongchen/Gear-fault-diagnosis
齿轮故障诊断