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Neural-Network-Model-Compressing
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Name
Complexity
Churn
Issues
A
examples\cifar10\train_full.sh
 1 -
A
include\caffe\layers\inner_product_layer.hpp
4 1 -
A
examples\siamese\train_mnist_siamese.sh
 1 -
A
include\caffe\layers\inq_conv_layer.hpp
3 2 -
A
compression_scripts\dns_model_compress.py
 2 1
A
include\caffe\layers\loss_layer.hpp
5 1 -
A
examples\web_demo\exifutil.py
9 1 -
A
include\caffe\layers\lstm_layer.hpp
7 1 -
A
examples\cifar10\train_full_sigmoid_bn.sh
 1 -
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include\caffe\layers\multinomial_logistic_loss_layer.hpp
2 1 -
A
include\caffe\blob.hpp
29 1 -
A
include\caffe\layers\neuron_layer.hpp
3 1 -
A
data\cifar10\get_cifar10.sh
 1 -
A
include\caffe\common.hpp
13 1 -
A
.github\workflows\snorkell-auto-documentation.yml
 1 -
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compression_scripts\compress_2power_model.py
 1 1
A
compression_scripts\dns_to_normal.py
 1 -
A
data\ilsvrc12\get_ilsvrc_aux.sh
 1 -
A
examples\finetune_flickr_style\assemble_data.py
5 1 3
A
include\caffe\internal_thread.hpp
2 1 -