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aal-pruning

Filter Pruning for Deep Convolutional Neural Networks via Auxiliary Attention

aofp

Codes of Approximated Oracle Filter Pruning

autolr

AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks

autoslim

A pytorch toolkit for structured neural network pruning automatically

base_learning

bloglearning

自己的学习历程，重点包括各种好玩的图像处理算法、运动捕捉、机器学习

chexnet-model-compression

Official Implementation of "CheXNet Model Compression for Pneumonia detection on low edged device"

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

efficientdnns

Collection of recent methods on DNN compression and acceleration

efficientnet-pruning-pytorch

ensemble-grafting

Code for CVPR 2020 paper “Filter Grafting for Deep Neural Networks”

filter-grafting

Filter Grafting for Deep Neural Networks(CVPR 2020)

filter_pruning_fpgm

reproduce FPGM filter pruning for Resnet 50 in imagenet 1k

giantpandacv.com

infospider

INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱🧰，旨在安全快捷的帮助用户拿回自己的数据，工具代码开源，流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、**移动、**联通、**电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客、开源**博客、简书。

mobile-yolov5-pruning-distillation

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

mobilenet-v2-pruning

Try out different pruning-approaches on lightweight Backbones.

model-compression-deploy

model compression and deploy. compression: 1、quantization: quantization-aware-training, 16/8/4/2-bit(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary(twn/bnn/xnor-net); post-training-quantization, 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization folding for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

monk_object_detection

A one-stop repository for low-code easily-installable object detection pipelines.

monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

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.

nanodet-pytorch

基于NanoDet项目进行小裁剪，专门用来实现PyTorch 版本的代码，下载直接能使用，支持图片、视频文件、摄像头实时目标检测。

network-pruning-greedy-forward-selection

Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

penni

PENNI: Pruned Kernel Sharing for Efficient CNN Inference

pruning-networks-using-neuron2neuron-skip-connections

Slides and Code for my BMVC 2020 paper (Under Construction)

pytorch-auto-slim-tools

pytorch AutoSlim tools，支持三行代码对pytorch模型进行剪枝压缩

resrep

Lossless CNN Channel Pruning via Decoupling Remembering and Forgetting

shufflenetv2_plus

the modify for shufflenets: shufflenet_v2_csp;shufflenet_v2_k5;shufflenet_v2_liteconv;shufflenet_v2_se_attention;shufflenet_v2_sk_attention