SPEElern
SPEElern is a software library designed for sequence-to-sequence learning tasks. It provides a framework for building and training neural network models that can transform an input sequence into an output sequence. This is a common pattern in natural language processing, where it can be used for tasks such as machine translation, text summarization, and question answering.
The library is built on top of deep learning frameworks, allowing users to leverage existing hardware accelerators
Key features of SPEElern include support for various encoder-decoder architectures, attention mechanisms, and different decoding strategies