Awesome

README

MLPleaseHelp is a simple ML resource search engine.

How To Use

You can use this search engine right now at https://jgreenemi.github.io/MLPleaseHelp/, provided via Github Pages.

Building Locally

In the same directory as the index.html page, open a terminal and start an HTTP server:

$ python -m http.server

Now open your web browser to the page http://localhost:8000 and off you go!

Contributing

You can contribute resources to this repo! All the entries are a static list in js/ml-assets.js, so making new entries is as easy as adding a name, description, link and some keywords, then opening a Pull Request.

What should a new resource entry look like?

All entries should look similar to the following:

{
    "Name": "Parris",
    "Description": "Parris, the automated infrastructure setup tool for machine learning algorithms.",
    "Link": "https://github.com/jgreenemi/Parris",
    "Keywords": "Python, AWS",
    "LastUpdatedDate": "2018/01/28",
},

Known Issues

• Internet Explorer: The retrieval of data in this browser results in "undefined" values. This issue is not seen on Google Chrome, Mozilla Firefox, or Opera browsers.

Contact

• Joseph Greene, jgreenemi@gmail.com