This repository provides implementations of Pervasive Attention, which uses 2D convolutional neural networks to jointly encode source and target sequences for neural machine translation. It also includes efficient Wait-k models for simultaneous machine translation. Built as a fork of Fairseq, it leverages PyTorch for deep learning operations and supports training wait-k models with joint training of multiple wait-k paths.