GitHub - facebookresearch/DrQA: Reading Wikipedia to Answer Open-Domain Questions

Linking pages

GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
GitHub - ritchieng/the-incredible-pytorch: The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. https://github.com/ritchieng/the-incredible-pytorch 0 comments
How to create your own Question-Answering system easily with python | by André Macedo Farias | Towards Data Science https://towardsdatascience.com/how-to-create-your-own-question-answering-system-easily-with-python-2ef8abc8eb5 0 comments
GitHub - tangbinh/question-answering https://github.com/tangbinh/question-answering 0 comments
GitHub - wasiahmad/NeuralCodeSum: Official implementation of our work, A Transformer-based Approach for Source Code Summarization [ACL 2020]. https://github.com/wasiahmad/NeuralCodeSum 0 comments
Answering Complex Open-domain Questions at Scale | SAIL Blog http://ai.stanford.edu/blog/answering-complex-questions/ 0 comments
GitHub - keon/awesome-nlp: A curated list of resources dedicated to Natural Language Processing (NLP) https://github.com/keonkim/awesome-nlp 0 comments
GitHub - bernhard2202/rankqa: This is the PyTorch implementation of the ACL 2019 paper RankQA: Neural Question Answering with Answer Re-Ranking. https://github.com/bernhard2202/rankqa 0 comments
How to Build an Open-Domain Question Answering System? | Lil'Log https://lilianweng.github.io/posts/2020-10-29-odqa/ 0 comments

Linking pages

Linked pages