📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

Stable Diffusion web UI

simplest implementation of yolo v1 via pytorch

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

Predict pictures based on ConvLSTM

Official Implementation of Deep Aerial Image Matching using PyTorch

Minimal PyTorch implementation of YOLOv3

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

Segmentation models with pretrained backbones. PyTorch.

Violin Plots for Matlab

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

PyTorch implementations of Generative Adversarial Networks.

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

『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)

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）

Image-to-Image Translation in PyTorch

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

Paper and implementation of UNet-related model.

Python - 100天从新手到大师

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

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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

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

JULYEDU PyTorch Course