yangyuren03 Goto Github PK

dbpn-pytorch

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

deep-mri-reconstruction

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

deep_learning_object_detection

A paper list of object detection using deep learning.

deepglobe-road-extraction-challenge

D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

diagonalwise-refactorization-pytorch

Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions (in PyTorch)

directionalfeature

Learning Directional Feature Maps for Cardiac MRI Segmentation (MICCAI2020)

drln

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

elasticdeform

Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy).

gscnn

Gated-Shape CNN for Semantic Segmentation

hessgpu

HessGPU - Implementation of the Hessian interest points detector with the SIFT descriptor on GPU

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

img_classification_pk_pytorch

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

interview-notebook

https://github.com/CyC2018/Interview-Notebook

joint-segment-level-and-pixel-wise-losses-for-deep-learning-based-retinal-vessel-segmentation

A new segment-level loss for accurate retinal vessel segmentation

kaggle-competition-solutions

Kaggle competition solutions

kaggle-rsna-2019

kaggle-rsna-intracranial-hemorrhage

kaggle_rsna2019_3rd_solution

kaggle_rsna_2019_10th_solution

This is the project for RSNA Intracranial Hemorrhage Detection hosted on Kaggle in 2019.

kaggle_salt_bes_phalanx

Kaggle Salt b.e.s. & phalanx

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

kiu-net-pytorch

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

libvips

A fast image processing library with low memory needs.

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

markdownpictures

MD files pictures

medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

minetorch

Use Pytorch in a smart way