Allegro Trains is a full system open source ML / DL experiment manager and ML-Ops solution. It is composed of a Python SDK, server, Web UI, and execution agents. Allegro Trains enables data scientists and data engineers to effortlessly track, manage, compare, and collaborate on their experiments as well as easily manage their training workloads on remote machines. Allegro Trains is designed for effortless integration so that teams can preserve their existing methodsand practices. Use it on a daily basis to boost collaboration and visibility, or use it to automatically collect your experimentation logs, outputs, and data to one centralized server.
This container is intended for use by the
allegro-trains Helm Chart - see here for more information.
Using the Trains Agent and zero configuration, you can now set up a dynamic AI experiment cluster
Trains Agent was built to address the DL/ML R&D DevOps needs:
Trains Agent executes experiments using the following process
For more information on using the Trains Agent, see Using the Trains Agent or the complete Trains Documentation page.
Trains Agent is provided under the Apache License, Version 2.0
TRAINS documentation is available here
For more examples and use cases, check examples.
If you have any questions: post on our Slack Channel, or tag your questions on stackoverflow with 'trains' tag.
For feature requests or bug reports, please use GitHub issues.
Additionally, you can always find us at firstname.lastname@example.org