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allegroai 2019-06-11 14:50:30 +03:00
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@ -54,7 +54,8 @@ Choose TRAINS because...
* Track everything with two lines of code. * 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. * 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. * 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. * 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!). * 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)). * 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)).