Git Product home page Git Product logo

pollenating_insects's Introduction

RAMP starting kit on the MNIST dataset

Authors: Mehdi Cherti & Balazs Kegl

Build Status

Go to ramp-worflow for more help on the RAMP ecosystem.

After cloning, run

python download_data.py

the first time. It will create data/imgs and download the images there using the names <id>, where <id>s are coming from data/train.csv and data/test.csv. If images are properly unzipped in data/imgs, you can delete the zip file data/imgs.zip to save space.

You should install keras 2.0.6, for example, like this:

conda install -c conda-forge keras

You should install keras and set image_data_format to channels_first in ~/.keras/keras.json.

Install ramp-workflow (rampwf), then execute

ramp_test_submission

Get started on this RAMP with the dedicated notebook.

pollenating_insects's People

Contributors

kegl avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  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.