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TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification
Advanced Deep Learning with Keras, published by Packt
Accessible AutoML for deep learning.
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
:metal: awesome-semantic-segmentation
Baidu competition for classifying dogs. More information is provided at http://js.baidu.com
百度西交第三届大数据比赛Baseline(全国第4名)
This is an implementation of Bilinear CNN using TensorFlow.
Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"
Yet anoter BUPT Thesis LaTeX class
The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.
This is the Challenge Project of ISBI 2016. Our result ranked in the 1st out of 20+ teams in the August 29 re-submission.
Camelyon'16 grand challenge for detecting breast cancer from Histopathological Whole Slide Images
CAMELYON 2017 Pathology/Bio-Imaging Competition
Code for "Fast Context Adaptation via Meta-Learning"
Detect location and draw boundary of nuclei from microscopic images
cell graph convolutional network
This is the MATLAB code for stain separation and color normalization in computational pathology (histopathological images)
deep learning pipeline repository for the paper "Geospatial immune variability illuminates differential evolution of lung adenocarcinoma"
A technical report on convolution arithmetic in the context of deep learning
Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow
Matrix library for CUDA in C++ and Python
Keras code and weights files for popular deep learning models.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Convolutional neural networks for extracting a "deep stroma score" from histological images of human cancer
Deep Learning Library for Single Cell Analysis
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
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.