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This 2018 IJCAI alimama Top3 Code
A curated list of deep learning resources for computer vision
Building Machine Learning Projects with TensorFlow by Packt
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Solved assignments from Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition
Code for Kaggle-CIFAR10 competition. 5th place.
A searchable compilation of Kaggle past solutions
Source Code for the book: Machine Learning in Action published by Manning
Code samples for my book "Neural Networks and Deep Learning"
Object detection in TensorFlow
TensorFlow & Deep Learning Tutorial
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras
Chest Xray image analysis using Deep learning !
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.