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The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
A paper list of object detection using deep learning.
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
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
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: An Efficient Training Method for Depthwise Convolutions (in PyTorch)
Learning Directional Feature Maps for Cardiac MRI Segmentation (MICCAI2020)
Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy).
Gated-Shape CNN for Semantic Segmentation
HessGPU - Implementation of the Hessian interest points detector with the SIFT descriptor on GPU
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
Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
https://github.com/CyC2018/Interview-Notebook
A new segment-level loss for accurate retinal vessel segmentation
Kaggle competition solutions
This is the project for RSNA Intracranial Hemorrhage Detection hosted on Kaggle in 2019.
Kaggle Salt b.e.s. & phalanx
Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN
Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)
A fast image processing library with low memory needs.
Code for the Lovász-Softmax loss (CVPR 2018)
MD files pictures
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Use Pytorch in a smart way
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.