huangcongqing/model-compression-optimization

model compression and optimization for deployment for Pytorch, including knowledge distillation, quantization and pruning.(知识蒸馏，量化，剪枝)

model-compression-optimization

model compression and optimization for deployment for Pytorch, including knowledge distillation, quantization and pruning.(知识蒸馏，量化，剪枝)

1 Pruning(剪枝)

算法总表

Pruning Method	Code location	Docs	Remark
01开山之作：Learning Efficient Convolutional Networks Through Network Slimming (ICCV2017)	code: pruning/01NetworkSlimming code reference: link1 link2	docs	placeholder
02【ICCV2017】ThiNet	code: 1pruning/02ThiNet code reference: https://github.com/SSriven/ThiNet	docs	1
03【CVPR2020】HRank	code: 1pruning/03HRank code reference: link	docs	placeholder
Coming...	1	1	1

01 Learning Efficient Convolutional Networks Through Network Slimming (ICCV2017)

docs: https://www.yuque.com/huangzhongqing/pytorch/iar4s1

code: pruning/01NetworkSlimming

code reference:

• https://github.com/foolwood/pytorch-slimming ● support for Vgg
• https://github.com/Eric-mingjie/network-slimming ● We also add support for ResNet and DenseNet.

02 TODO

2 quantization(量化)

01 TODO

算法总表

量化 Method	Code location	Docs	Remark
Coming...	1	1	1

3 knowledge distillation(知识蒸馏)

算法总表

KD Method	Code location	Docs	Remark
01开山之作： Distilling the knowledge in a neural network（NIPS2014）ndom	code: 3distillation/01Distilling the knowledge in a neural network code reference: https://github.com/Eli-yu-first/Artificial_Intelligence	https://www.yuque.com/huangzhongqing/lightweight/lno6i7	1
02 Channel-wise Knowledge Distillation for Dense Prediction（ICCV2021）	code: 3distillation/02SemSeg-distill code reference: https://github.com/irfanICMLL/TorchDistiller/tree/main/SemSeg-distill	https://www.yuque.com/huangzhongqing/lightweight/dourdf2ogh9y1cx9#VHZBv	1
Coming...	1	1	1

01开山之作： Distilling the knowledge in a neural network（NIPS2014）

docs: https://www.yuque.com/huangzhongqing/lightweight/lno6i7

code: 3distillation/01Distilling the knowledge in a neural network

code reference: https://github.com/Eli-yu-first/Artificial_Intelligence

02 Channel-wise Knowledge Distillation for Dense Prediction（ICCV2021）

docs: https://www.yuque.com/huangzhongqing/lightweight/dourdf2ogh9y1cx9#VHZBv

code: 3distillation/02SemSeg-distill

code reference: https://github.com/irfanICMLL/TorchDistiller/tree/main/SemSeg-distill

4 NAS神经网络搜索(Neural Architecture Search,简称NAS)

video:

• 神经网络结构搜索 Neural Architecture Search 系列:https://space.bilibili.com/1369507485/channel/collectiondetail?sid=788500
• PPT: 4NAS/NAS基础.pptx

算法总表

NAS Method	Code location	Docs	Remark
01 DARTS(ICLR'2019)【Differentiable Neural Architecture Search 可微分结构】—年轻人的第一个NAS模型	code: 4NAS/01DARTS(ICLR2019)/pt.darts code reference: https://github.com/khanrc/pt.darts	hthttps://www.yuque.com/huangzhongqing/lightweight/esyutcdebpmowgi3	video:【论文解读】Darts可微分神经网络架构搜索算法:https://www.bilibili.com/video/BV1Mm4y1R7Cw/?vd_source=617461d43c4542e4c5a3ed54434a0e55
Coming...	1	1	1

01 DARTS(ICLR'2019)【Differentiable Neural Architecture Search 可微分结构】—年轻人的第一个NAS模型

doc：https://www.yuque.com/huangzhongqing/lightweight/esyutcdebpmowgi3

code: 4NAS/01DARTS(ICLR2019)/pt.darts code reference:：https://github.com/khanrc/pt.darts video:【论文解读】Darts可微分神经网络架构搜索算法:https://www.bilibili.com/video/BV1Mm4y1R7Cw/?vd_source=617461d43c4542e4c5a3ed54434a0e55

02 TODO

TODOlist

License

Copyright (c) 双愚. All rights reserved.

Licensed under the MIT License.

---

微信公众号：【双愚】（huang_chongqing） 聊科研技术,谈人生思考,欢迎关注~

往期推荐：

1. 本文不提供职业建议，却能助你一生
2. 聊聊我们大学生面试
3. 清华大学刘知远：好的研究方法从哪来