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dlboard

A pytorch_lightning-compatible logger client for dlboard, a free, self-hosted ML experiment-tracking server. This package ships metrics, hyperparameters, and artifacts from a training script to a running dlboard server over a REST API.

from dlboard.client.dlboard_logger import DLBoardLogger

logger = DLBoardLogger.from_names("my-project", "my-experiment", "a description")
trainer = pl.Trainer(logger=logger)

You'll also need a dlboard server to point it at — either pip install dlboard[server] for a single-machine setup, or a shared deployment your team already runs. See the project README for the full picture, and docs/client.md for logger setup, authentication, and logging custom artifact types.

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0.3.1

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0.2.1 This release

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0.2.0

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