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Name: jiajie.mo
Type: User
Name: jiajie.mo
Type: User
A curated list of awesome architecture search resources
A curated list of awesome resources related to capsule networks
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of neural architecture search (NAS) resources.
A beamer theme inherited from upb2018
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
Pytorch easy-to-follow Capsule Network tutorial
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
Essential Cheat Sheets for deep learning and machine learning researchers
A technical report on convolution arithmetic in the context of deep learning
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Differentiable architecture search for convolutional and recurrent networks
Deep Learning Application Examples
Deep Learning Specialization by Andrew Ng on Coursera.
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
:books: Freely available programming books
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
This is a python implementation of Hierarchical Image Matting Model for Segmentation.
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. High-accuracy medical retina (eye) image segmentation.
This is a suggestion for using the Paderborn University corperated design in LaTeX-Beamer.
State-of-the-art retinal vessel segmentation with minimalistic models
A PyTorch Implementation of Matrix Capsules with EM Routing
A Tensorflow implementation of CapsNet based on paper Matrix Capsules with EM Routing
A Pytorch implementation of "Matrix Capsules with EM routing"
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
NSGA-Net, a Neural Architecture Search Algorithm
Applying Octave UNet for Retinal Vessel Segmentation.
Latex code for making neural networks diagrams
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.