Start Here

Explore the tutorials below to quickly onboard and become productive with your ML research on the Nightingale platform.

Getting Started

1. Register for the Nightingale OS Platform.
2. Wait to get admitted; we’ll onboard users as quickly as possible.
3. Log on to the platform, create a new project
4. Create a new instance within the project to explore the data, and to train and test your models.
   • Use cpu.xsmall instances to explore the data and train/test your models for free, or
   • Fund a project using a credit card to use our full range of instance sizes, including GPUs.
5. Do the hands-on tutorial below to learn to access the data, train and test ML models quickly on our platform.
6. Invite collaborators to join your Nightingale project.

For more details about getting started, refer to our platform docs.

Platform Registration Walkthrough

Creating a Project and Joining a Contest

Helpful Guides

1. Python Resources

Platform Tutorials

1. Setting up a deep learning model on Nightingale