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.

🔍 Transformers at scale for question answering & search

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

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

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

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

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

R-net in PyTorch, with ELMo

HRTF for Arma 3, Skyrim, and other titles that use XAudio2 + X3DAudio

Open R-NET implementation and detailed analysis: https://git.io/vd8dx

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

A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task

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

A Pytorch implementation of QANet

R-NET implementation in TensorFlow.

TensorFlow Models for the Stanford Question Answering Dataset

An Unofficial Pytorch Implementation of Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering

BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.

An Implementation of Bidirectional Attention Flow

Pytorch Implementation of Dynamic Co-attention Networks(DCN+) for Question Answering on SQuAD2.0

Machine Reading Comprehension in Tensorflow

A PyTorch Implementation of FastFusionNet on SQuAD 1.1

Code and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"

Author implementation of "Learning Recurrent Span Representations for Extractive Question Answering" (Lee et al. 2016)

Guide KorQuAD upload to leaderboard (EM 68.947 / F1 88.468) model which only use BERT-multilingual(single)

A UI showing unit positions and names of units in your squad