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Tools to assist modeling and training with PyTorch.
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README.md
__init__.py
train.py

README.md

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Tools to assist modeling and training with PyTorch.

Currently, one useful training algorithm is offered: training RNNs with backpropagation-through-time without requiring training sequences to be of the same length, dynamically swapping out sequences in the batch as they get exhausted.

See doc string for train_bptt() in train.py for more details. Also, my blog post, Better Backprop Through Time Using Pytorch for some discussion.

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