speedrun

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Recent versions of Tensorboard supports [logging and visualising hyperparameters](https://www.tensorflow.org/tensorboard/hyperparameter_tuning_with_hparams). Given that it's [supported by TensorboardX](https://tensorboardx.readthedocs.io/en/latest/tensorboard.html#tensorboardX.SummaryWriter.add_hparams), it shouldn't be too difficult to integrate it in `TensorboardMixin`.

nasimrahaman

The readme is rather terse and not as concise as it should be.

nasimrahaman

Let's bring this on conda-forge as well :). I started with the recipe here: https://github.com/inferno-pytorch/staged-recipes @nasimrahaman Are there more dependencies than this: https://github.com/inferno-pytorch/staged-recipes/blob/master/recipes/speedrun/meta.yaml#L24-L28

constantinpape