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extend description in readme
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Dynamically updating plots in Jupyter notebooks, e.g. for visualizing training progress. Inspired by [livelossplot](https://github.com/stared/livelossplot). In comparison, trainplot has fewer options, but aims to be easier to use with better jupyter notebook support.
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Trainplot outputs the matplotlib figure to an `ipywidgets.Output` widget, so it doesn't interfere with other outputs like `tqdm` or print statements. To avoid wasting resources and flickering, the figure is only updated with a given `update_period`.
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## Installation
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