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.