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Name: Hong Pan
Type: User
Name: Hong Pan
Type: User
3D Unet for Isointense Infant Brain Image Segmentation
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
The classical paper list with code about generative adversarial nets
Image augmentation library in Python for machine learning.
A curated list of awesome computer vision resources
Awesome Crowd Counting
List of satellite imagery datasets with annotations for computer vision and deep learning
Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.
An experiment with crowd counting. Trains a keras model in python for use with Rails and iOS CoreML.
吴恩达老师的机器学习课程个人笔记
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
Deep Back-Projection Networks for Super-Resolution (Winner of NTIRE2018 and PIRM2018)
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
A paper list of object detection using deep learning.
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15个章节,近20万字。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
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Gluon CV Toolkit
Handy image viewer - switch images with fixed zoomed ration and other features.
High-resolution representation learning (HRNets) for Semantic Segmentation
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Implementation of Super Resolution CNN in Keras.
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)
《统计学习方法》的代码实现
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight)
This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
A python library for medical image processing, built by the medical imaging group of Dalian Univerisity of Technology, China
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.