squad

🔍 Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

A Tensorflow implementation of QANet for machine reading comprehension

😎 A curated list of the Question Answering (QA)

机器阅读理解 冠军/亚军代码及中文预训练MRC模型

Tensorflow Implementation of R-Net

Haskell game engine library for roguelike dungeon crawlers; please offer feedback, e.g., after trying out the sample game with the web frontend at

The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

An implementation of the BERT model and its related downstream tasks based on the PyTorch framework

R-net in PyTorch, with ELMo

ALBERT model Pretraining and Fine Tuning using TF2.0

Allure of the Stars is a near-future Sci-Fi roguelike and tactical squad combat game written in Haskell; please offer feedback, e.g., after trying out the web frontend version at

Open R-NET (hy` առնետ 🐁) implementation and detailed analysis: https://git.io/vd8dx

A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task

Persian (Farsi) Question Answering Dataset (+ Models)

A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension

A Pytorch implementation of QANet