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lanpa/tensorboardX

A Python library that lets PyTorch, Chainer, and MXNet developers write TensorBoard events to visualize training metrics like scalars, images, histograms, and graphs.

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tensorboardX provides a simple API to log training metrics for visualization in TensorBoard. It supports a wide range of summary types including scalar values, images, figures, histograms, audio, text, graphs, embeddings, and videos. The library is designed as a drop-in alternative to PyTorch’s native SummaryWriter, targeting developers who want to monitor and debug deep learning training runs.

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