Giter Site home page Giter Site logo

wuhao5688 / rnn-trajmodel Goto Github PK

View Code? Open in Web Editor NEW
94.0 6.0 40.0 121 KB

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

Python 93.39% C++ 6.61%
recurrent-neural-networks road-network trajectory deep-learning deep-neural-networks

rnn-trajmodel's People

Contributors

safawu avatar wuhao5688 avatar

Stargazers

avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar

Watchers

avatar avatar avatar avatar avatar avatar

Forkers

bingo619 jacobishao xuetf lunx222 tumango keyboarder8 zhouyonglong mengtingdin hzhang57 falloutall liukangling hisham32 gzqhappy jkfdre thlvia liyingben griffithkq kaizhiyu sunacc w470062742 xinchan combineads empythy yasuohara24 byvalentino sean0719 cyoun0426 wmcx913 yunjiezh dawnywu networkresourcespace sahilm1992 stjohnzl huipeng666 shliujing derekwtian catlyg lastuavpilot xiaolinhan

rnn-trajmodel's Issues

The code of BIRL

As mentioned in your paper, one baseline is the BIRL method. I am interested in that method recently. Have you implemented it? Or do you have the source code URL of others? Could you share it please? Thanks you very much!

Making predictions

Hi,
I managed to successfully train a model on my own data. The evaluation metrics look very good. However, I struggle with making predictions on new data. I can't seem to find any method that takes an edge(sequence) as input and outputs a path. All I get is evaluation metrics.

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.