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crack_segmentation icon crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dncnn icon dncnn

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

e3d_lstm icon e3d_lstm

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

ffdnet icon ffdnet

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

models icon models

Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)

pix2pix-pytorch icon pix2pix-pytorch

PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pix2pix-tensorflow icon pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

pix2pix_pan icon pix2pix_pan

pix2pix and PAN(Parceptual Adversarial Networks) in PyTorch

pix2pixbegan.pytorch icon pix2pixbegan.pytorch

A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorch-fcn icon pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

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