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				| @ -54,7 +54,8 @@ Choose TRAINS because... | ||||
| * Track everything with two lines of code. | ||||
| * Model logging that automatically associates models with code and the parameters used to train them, including initial weights logging. | ||||
| * Multi-user process tracking and collaboration. | ||||
| * Management capabilities including project management, filter-by-metric, and detailed experiment comparison. | ||||
| * **Experiment comparison** including code commits, initial weights, hyper-parameters and metric results. | ||||
| * Management capabilities including project management, filter-by-metric. | ||||
| * Centralized server for aggregating logs, records, and general bookkeeping. | ||||
| * Automatically create a copy of models on centralized storage (TRAINS supports shared folders, S3, GS, and Azure is coming soon!). | ||||
| * 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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