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GuoxiangQu's repositories

pix2pix-caffe

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AdversarialNetsPapers

The classical papers and codes about generative adversarial nets

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caffe

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

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caffe-weighted_softmax_loss_layer

Source files of a weighted_softmax_with_loss layer for latest version of caffe. Allow wild cards to be accepted as a bottom

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caffe_GAN

This project uses GAN to implement gray image colorization

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CTPN

Detecting Text in Natural Image with Connectionist Text Proposal Network

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DeepLab-Context

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deepmask

Torch implementation of DeepMask and SharpMask

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DenseNet-Caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

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fast-rcnn

Fast R-CNN

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fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

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Focal-Loss

The implementation of Focal-Loss Using Caffe

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generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

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HeartSeg

code of DenseVoxNet and 3D-DSN

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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SENet

Squeeze-and-Excitation Networks

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tesseract

Tesseract Open Source OCR Engine (main repository)

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Weighted_Softmax_Loss

Weighted Softmax Loss Layer for Caffe

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