anshumanvenkatesh

const invertObject = x => {
  let sol = {}
  R.mapObjIndexed((val, key, obj) => {
    R.map(type => {
      if (type in sol) {
        sol[type].push(key);
      } else {
        sol[type] = [key]
      }  
    })(val)

anshumanvenkatesh

git config --global alias.co checkout

anshumanvenkatesh

Building Tensorflow from source on Mac (CPU only) for maximum performance:

TensorFlow is now distributed under an Apache v2 open source license on GitHub.

Step 1. Create new conda environment:

It's a good idea to isolate your dev environment for Tensorflow because:

• It keeps the workspace clean
• Environments can be exported and imported to different machines (In this instance though the point is moot as you'ld be building Tensorflow optimized for your particular system.

anshumanvenkatesh

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j