Machine Learning for everyone

Announcing GPU support and revisiting the neural style transfer

It’s been less than two month since we demoed a neural style transfer (aka photo to Picasso) that can be forked and fiddled with straight in the browser. It’s been a major milestone for us but we’ve also been clear that it’s really just the absolute tip of the iceberg.

Back then, our experiment ran on CPU and applying the style transfer took several hours. It’s been one of our biggest promises to enable users to run Machine Learning code on blazingly fast optimized GPU-accelerated hardware.

Today, we are happy and excited to announce GPU support for the MachineLabs platform!

Feature update - Landing page

It’s been a little over two weeks since our last feature update where we have introduced a REST API and folder support in MachineLabs. We are constantly working on improvements and most importantly a better experience for our users. Today we are stoked to announce another important feature that we’re bringing onto the streets.

Read on for more information!

A neural style transfer in the browser

We couldn’t be more excited to share yet another feature update with you. Starting of today the ml.yaml file that configures each execution just got a whole lot more powerful as you can now configure inputs as well as script parameters. With these two features in place, we’d like to take you on a journey to demo how you can build the most simple neural style transfer!

Feature update - Saving outputs, better console and much more

It’s time for another MachineLabs feature update! Today we’re excited to announce that MachineLabs finally supports saving and downloading of outputs. To learn more about this and other new things that landed in our code base, read on!

Launching Private Beta

The time has come! Today we let the first batch of users enter the MachineLabs Private Beta program. Want to get in as well? Make sure to login with your GitHub account, to increase the chances of getting selected for the next batch!

Celebrating Private Beta Pre-Release

After many weeks of developing a web-based platform, that we hope will change the way we’ll share and explore the Machine Learning field, we’re excited to celebrate our Private Beta Pre-Release. Read on to learn what that means to you.