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cmystal/MathModel

研究生数学建模,数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT

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cmystal/SRGAN

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

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cmystal/pytorch-SRResNet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

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cmystal/dcgan_code

Deep Convolutional Generative Adversarial Networks

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cmystal/electronic-wechat

:speech_balloon: A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.

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cmystal/DnCNN-PyTorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

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cmystal/Deep-ADMM-Net

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cmystal/DFT-DFT2D-FFT-FFT2D-digital_watermark-PYTHON

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cmystal/opencv

Open Source Computer Vision Library

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cmystal/DnCNN

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

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cmystal/DSP2-PROJECT

This project is aim to use different optimization method to do image denoising based on total variation denoising.

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cmystal/tv-denoise

Total variation denoising for images.

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cmystal/PrimalDualNet

Neural Net Approach to Primal Dual algorithm.

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cmystal/TV

图像去噪(全差分)

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cmystal/CNN_Image_Denoising

code:《基于深度卷积神经网络的图像去噪研究》

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cmystal/ADMM-Total-Variation

Some other ADMM total variation codes

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

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