Trains is our experiment management and version control solution for AI. Trains tracks and controls the experimentation process by associating code version control, research projects, performance metrics, and model provenance. We designed Trains specifically to require effortless integration so that teams can preserve their existing methods and 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 Trains user guide and reference provides detailed information and instructions, including our:
- Quick Start guide - Get started using Trains in four easy steps.
- Tutorials - Step-by-step guides teaching you how to use Trains.
- User Interface (Web-App) - An overview of how to use the Trains Web-App.
- Trains Python Client Reference - Task, Logger, and Model classes, methods, and properties.