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100-days-of-ml-code

100-Days-Of-ML-Code中文版

2016_super_resolution

super resolution 2015ICCV Image Super-Resolution Using Deep Convolutional Networks

caffe

Caffe: a fast open framework for deep learning.

caffe-facialkp

Facial keypoints extraction using Caffe

caffe-l1_loss_layer

Implementation of L1 Loss Layer in Caffe.

caffe-tensorflow

Caffe models in TensorFlow

caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

caffe-windows

Configure Caffe in one hour for Windows users.

caffe21days

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

cvpr16_deblur_study

A Comparative Study for Single Image Blind Deblurring (CVPR 2016)

deepdenoising

deeplearningbook-chinese

Deep Learning Book Chinese Translation

demosaicnet

An implementation of Deep Joint Demosaicking and Denoising - SiGGRAPH Asia 2016

depth-aware-motion-deblurring

Mirror from https://square-src.de/gitlab/franzi/study-thesis. This is my study thesis - a reference implementation of the depth-aware motion deblurring algorithm by Xu and Jia.

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

dncnn

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

dncnn-keras

dncnn-tensorflow

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

dvr_rdk

ffdnet

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

image-denoising-state-of-the-art

ircnn

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017)

learngit

初学git

learngitremote

learning-to-see-in-the-dark

machine-learning

machine-learning

mini-caffe

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

n3net

Neural Nearest Neighbors Networks (NIPS*2018)

pytorch-beginner

pytorch tutorial for beginners