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allegroai 2019-08-03 03:20:40 +03:00
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@ -24,10 +24,8 @@ your experimentation logs, outputs, and data to one centralized server.
**With only two lines of code, this is what you are getting:** **With only two lines of code, this is what you are getting:**
* Git repository, branch, commit id, entry point and local git diff * Git repository, branch, commit id, entry point and local git diff
* Python packages (including specific version) * Python environment (including specific packages & versions)
* StdOut and StdErr * StdOut and StdErr
* Support for *Jupyter Notebook* (see [trains-jupyter-plugin](https://github.com/allegroai/trains-jupyter-plugin))
and *PyCharm* remote debugging (see [trains-pycharm-plugin](https://github.com/allegroai/trains-pycharm-plugin))
* Hyper-parameters * Hyper-parameters
* ArgParser for command line parameters with currently used values * ArgParser for command line parameters with currently used values
* Explicit parameters dictionary * Explicit parameters dictionary
@ -36,7 +34,9 @@ your experimentation logs, outputs, and data to one centralized server.
* Model snapshots * Model snapshots
* Tensorboard/TensorboardX scalars, metrics, histograms, images (with audio coming soon) * Tensorboard/TensorboardX scalars, metrics, histograms, images (with audio coming soon)
* Matplotlib & Seaborn * Matplotlib & Seaborn
* Tensorflow, PyTorch, Keras, XGBoost and Scikit-Learn are supported (MxNet is coming soon) * Supported frameworks: Tensorflow, PyTorch, Keras, XGBoost and Scikit-Learn (MxNet is coming soon)
* Seamless integration (including version control) with **Jupyter Notebook**
and [*PyCharm* remote debugging](https://github.com/allegroai/trains-pycharm-plugin))
**Detailed overview of TRAINS offering and system design can be found [Here](https://github.com/allegroai/trains/blob/master/docs/brief.md).** **Detailed overview of TRAINS offering and system design can be found [Here](https://github.com/allegroai/trains/blob/master/docs/brief.md).**
@ -79,8 +79,6 @@ Note that it resets every 24 hours and all of the data is deleted.
When you are ready to use your own TRAINS server, go ahead and [install *TRAINS-server*](https://github.com/allegroai/trains-server). When you are ready to use your own TRAINS server, go ahead and [install *TRAINS-server*](https://github.com/allegroai/trains-server).
System diagram of TRAINS in action
<img src="https://github.com/allegroai/trains/blob/master/docs/system_diagram.png?raw=true" width="30%"> <img src="https://github.com/allegroai/trains/blob/master/docs/system_diagram.png?raw=true" width="30%">