Beast code in Giters

Jian-Hao's repositories

caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342

Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet

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PyTorch Implementation of AutoPruner

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PyTorch Implementation of CURL-Neural Network Pruning with Residual-Connections and Limited-Data

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Here are some interesting scripts used in CNN.

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remove fc layers, replace pool5 with 14x14 average pooling and softmax layer, then fine tune on CUB200

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Benchmarks for popular CNN models

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Model Converter from Torch to Caffe

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Datasets, Transforms and Models specific to Computer Vision

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