Code Monkey home page Code Monkey logo

rnn-gc's Introduction

RNN-GC

Introduction

This repo contains a python implementation of RNN-GC.
custom_lstm.py is a re-implementation of LSTM using keras.
rnn_gc.py is a implementation of NUE strategy

Requirements: software

  • Python 2.7 or 3.6
  • Keras
  • theano or tensorflow

Testing Demo

run rnn_gc_demo.py

Results

Citing RNN-GC

If you find RNN-GC useful in your research, please consider citing: Yueming Wang, Kang Lin, Yu Qi, Qi Lian, Shaozhe Feng, Gang Pan, Zhaohui Wu, "Estimating Brain Connectivity with Varying Length Time Lags Using Recurrent Neural Network", IEEE Transactions on Biomedical Engineering, In press.

rnn-gc's People

Contributors

shaozhefeng avatar

Stargazers

Liu avatar Holmestime avatar Alireza Khodabakhsh avatar  avatar ChaunceyKung avatar  avatar Helder Oliveira avatar Yunfei Chu avatar MoLiang avatar

Watchers

James Cloos avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.