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@ -25,6 +25,7 @@ TRAINS is an auto-magical experiment manager that you can use productively with
preserving your existing methods and practices. Use it on a daily basis to boost collaboration and visibility, preserving your 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 for provenance. or use it to automatically collect your experimentation logs, outputs, and data to one centralized server for provenance.
(See TRAINS live at [https://demoapp.trainsai.io](https://demoapp.trainsai.io))
![Alt Text](docs/webapp_screenshots.gif) ![Alt Text](docs/webapp_screenshots.gif)
## Why Should I Use TRAINS? ## Why Should I Use TRAINS?
@ -80,6 +81,7 @@ TRAINS magically logs the following:
## See for Yourself ## See for Yourself
We have a demo server up and running [https://demoapp.trainsai.io](https://demoapp.trainsai.io) (it resets every 24 hours and all of the data is deleted). We have a demo server up and running [https://demoapp.trainsai.io](https://demoapp.trainsai.io) (it resets every 24 hours and all of the data is deleted).
You can test your code with it: You can test your code with it:
1. Install TRAINS 1. Install TRAINS
@ -91,9 +93,12 @@ You can test your code with it:
from trains import Task from trains import Task
Task = Task.init(project_name=”my_projcet”, task_name=”my_task”) Task = Task.init(project_name=”my_projcet”, task_name=”my_task”)
1. Run your code. When TRAINS connects to the server, a link prints. 1. Run your code. When TRAINS connects to the server, a link prints. For example:
1. In the Web-App, view your parameters, model and tensorboard metrics. TRAINS Metrics page:
https://demoapp.trainsai.io/projects/76e5e2d45e914f52880621fe64601e85/experiments/241f06ae0f5c4b27b8ce8b64890ce152/output/log
1. Open your link and view the experiment parameters, model and tensorboard metrics.
## How TRAINS Works ## How TRAINS Works