* Install the latest stable version from PyPI instead of downloading source code - `pip install sagemaker-ssh-helper` .
* Script to cleanup stale SSM instances – [sagemaker_ssh_helper/deregister_old_instances_from_ssm.py] (sagemaker_ssh_helper/deregister_old_instances_from_ssm.py) . Will remove all offline instances created by SageMaker with `SSHOwner` tag
* Limit the number of training instances for distributed job with an optional parameter `ssh_instance_count` passed to `SSHEstimatorWrapper.create()` (default is 2) – useful to prevent Throttling API errors in SSM
* Added FAQ
* Windows support for local machine (more details in FAQ)