Training deep learning models on AWS and GCP instances.
Spotty is an abstraction over any service that can run containers. It can be AWS, GCP, Azure or YC instances, it can be services like AWS Batch or AWS Sagemaker, it can be your local machine or any remote machine with the Docker installed.
At my best knowledge, there are no projects like this.
At the moment, Spotty supports only AWS and GCP providers, but with the next big release this month Spotty will also start supporting "local" and "remote" providers to work with Docker containers locally and through SSH on any remote instance.
The project welcomes any contributors. There are many features that can be added, for example:
If you're interested in contributing, you can create an issue on GitHub or contact me directly in Slack (@opolosin).