v1.0.2

• Migrate up to PyTorch 2.0.1, Python 3.10
• Fix README as pointed out in #2

v1.0.1

Updated docs for running Parapred on a batch of sequences. This is due to PyTorch's pack_padded_sequence function preferring length-sorted sequences.

The model's forward call also has an update to expect length-sorted sequences.

v1.0.0

PyTorch implementation of Parapred with features such as:

• Use of sigmoid activation as opposed to hard sigmoid (default)
• JSON outputs
• Paratyping [Richardson et al., 2021, mAbs]

At this moment, we have no plans to include code for training Parapred from scratch.