This is a PyTorch implementation of the DrQA system. DrQA is a system for reading comprehension applied to open-domain question answering. DrQA is targeted at the task of machine reading at scale (MRS). In this setting, we are searching for an answer to a question in a potentially very large corpus of unstructured documents, that may not be redundant. Thus, the system has to combine the challenges of document retrieval, i.e. finding the relevant documents, with that of machine comprehension of text (identifying the answers from those documents).