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hhanwenhui's Projects

awesome-semantic-segmentation-pytorch icon awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

blog icon blog

for code created as part of http://studywolf.wordpress.com

cbdnet icon cbdnet

Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019

cifar-vgg icon cifar-vgg

VGG16 models for CIFAR-10 and CIFAR-100 using Keras

cnnzoo4cifar icon cnnzoo4cifar

This is a collection of CNNs trained on CIFAR10, e.g. DenseNet, VGG16, ResNet...

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deep_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deep_sort_yolov3 icon deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

deepspeech icon deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

dncnn icon dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

ffdnet icon ffdnet

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

imagenet icon imagenet

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

imagenet-1 icon imagenet-1

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

interview-questions icon interview-questions

机器学习深度学习面试题笔试题(Machine learning Deep Learning Interview Questions)

keras-resnet icon keras-resnet

Residual networks implementation using Keras-1.0 functional API

keras-yolo3 icon keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

nengo icon nengo

A Python library for creating and simulating large-scale brain models

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