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Documentation
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@ -54,7 +54,8 @@ Choose TRAINS because...
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* Track everything with two lines of code.
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* Model logging that automatically associates models with code and the parameters used to train them, including initial weights logging.
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* Multi-user process tracking and collaboration.
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* Management capabilities including project management, filter-by-metric, and detailed experiment comparison.
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* **Experiment comparison** including code commits, initial weights, hyper-parameters and metric results.
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* Management capabilities including project management, filter-by-metric.
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* Centralized server for aggregating logs, records, and general bookkeeping.
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* Automatically create a copy of models on centralized storage (TRAINS supports shared folders, S3, GS, and Azure is coming soon!).
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* Support for Jupyter notebook (see the [trains-jupyter-plugin](https://github.com/allegroai/trains-jupyter-plugin)) and PyCharm remote debugging (see the [trains-pycharm-plugin](https://github.com/allegroai/trains-pycharm-plugin)).
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