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SqueezeNet Public
Forked from forresti/SqueezeNetSqueezeNet: AlexNet-level accuracy with 50x fewer parameters
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ROLO Public
Forked from Guanghan/ROLOROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking
Python Apache License 2.0 UpdatedJul 22, 2016 -
deep-residual-networks Public
Forked from KaimingHe/deep-residual-networksDeep Residual Learning for Image Recognition
MIT License UpdatedJul 22, 2016 -
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MachineLearning Public
Forked from wepe/MachineLearningBasic Machine Learning and Deep Learning
Python UpdatedJul 5, 2016 -
caffe Public
Forked from microsoft/caffeCaffe on both Linux and Windows
C++ Other UpdatedMay 20, 2016 -
deepframeworks Public
Forked from zer0n/deepframeworksEvaluation of Deep Learning Frameworks
UpdatedMay 11, 2016 -
py-faster-rcnn Public
Forked from rbgirshick/py-faster-rcnnFaster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Python Other UpdatedMay 10, 2016 -
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rnnlib Public
Forked from szcom/rnnlibRNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
C GNU General Public License v3.0 UpdatedApr 17, 2016 -
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CNN-for-Image-Retrieval Public
Forked from willard-yuan/cnn-for-image-retrieval🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
MATLAB UpdatedApr 1, 2016 -
STLSourceAnalysis Public
Forked from gatieme/STLSourceAnalysisstl源码剖析(侯捷)的学习笔记
C++ UpdatedMar 24, 2016 -
PyConvNet Public
Forked from Eniac-Xie/PyConvNetConvolutional Neural Network for python users
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ResNet-Generator-for-caffe Public
Forked from FuxiCV/ResNet-Generator-for-caffeA script for generating ResNet model which is proposed by MSRA in ImageNet 2015.
Python MIT License UpdatedDec 20, 2015 -
Places205-VGGNet Public
Forked from wanglimin/Places205-VGGNetPlaces205-VGGNet models for scene recognition
UpdatedDec 14, 2015 -
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python-crf Public
Forked from shawntan/python-crfPython implementation of linear-chain conditional random fields.
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