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allegroai 2019-06-16 02:36:43 +03:00
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@ -43,7 +43,8 @@ performance metrics, and model provenance.
and *PyCharm* remote debugging (see [trains-pycharm-plugin](https://github.com/allegroai/trains-pycharm-plugin))
* Log everything. Experiments become truly repeatable
* Model logging with **automatic association** of **model + code + parameters + initial weights**
* Automatically create a copy of models on centralized storage (supports shared folders, S3, GS, and Azure is coming soon!)
* Automatically create a copy of models on centralized storage
([supports shared folders, S3, GS,](https://github.com/allegroai/trains/blob/master/docs/faq.md#i-read-there-is-a-feature-for-centralized-model-storage-how-do-i-use-it-) and Azure is coming soon!)
* Share and collaborate
* Multi-user process tracking and collaboration
* Centralized server for aggregating logs, records, and general bookkeeping