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README.md
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README.md
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# TRAINS - Magic Version Control & Experiment Manager for AI
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# TRAINS
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## Magic Version Control & Experiment Manager for AI
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<p style="font-size:1.2rem; font-weight:700;">"Because it’s a jungle out there"</p>
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@ -19,7 +20,7 @@ TRAINS is an auto-magical experiment manager that you can use productively with
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preserving your existing methods and practices. Use it on a daily basis to boost collaboration and visibility,
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or use it to automatically collect your experimentation logs, outputs, and data to one centralized server for provenance.
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![nice image here? Maybe collection of all the projects or main screen, this can also be an inspirational image insinuating clutter](img/woman-3441018_1920.jpg)
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![Alt Text](docs/webapp_screenshots.gif)
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## Why Should I Use TRAINS?
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@ -88,24 +89,12 @@ You can test your code with it:
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1. In the Web-App, view your parameters, model and tensorboard metrics.
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![GIF screen-shot here. If the Gif looks bad, a few png screen grabs:
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Home Page
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Projects Page
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Experiment Page with experiment open tab execution
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Experiment Page with experiment open tab model
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Experiment Page with experiment open tab results
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Results Page
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Comparison Page
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Parameters
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Graphs
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Images
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Experiment Models Page]
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## How TRAINS Works
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TRAINS is composed of the following:
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* the [trains-server](https://github.com/allegroai/trains-server)
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* the [TRAINS-server](https://github.com/allegroai/trains-server)
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* the [Web-App](https://github.com/allegroai/trains-web) (web user interface)
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* the Python SDK (auto-magically connects your code, see [Using TRAINS (Example)](#using-trains-example)).
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@ -142,7 +131,7 @@ The following diagram illustrates the interaction of the TRAINS-server and a GPU
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| +------------------|--------------+ |
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| | Training | | +---------------------+ |
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| | Code +---+------------+ | | TRAINS configuration| |
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| | | TRAINS - SDK | | | ~/trains.conf | |
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| | | TRAINS | | | ~/trains.conf | |
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| | | +------+ | |
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| | +----------------+ | +---------------------+ |
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| +---------------------------------+ |
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