kelayamatoz / Bidaf Pytorch
An Implementation of Bidirectional Attention Flow
Stars: ✭ 42
Programming Languages
python
139335 projects - #7 most used programming language
Labels
Projects that are alternatives of or similar to Bidaf Pytorch
Squad
Dockerfile for automated build of a Squad gameserver: https://hub.docker.com/r/cm2network/squad/
Stars: ✭ 21 (-50%)
Mutual labels: squad
qa
TensorFlow Models for the Stanford Question Answering Dataset
Stars: ✭ 72 (+71.43%)
Mutual labels: squad
Medi-CoQA
Conversational Question Answering on Clinical Text
Stars: ✭ 22 (-47.62%)
Mutual labels: squad
Learning to retrieve reasoning paths
The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
Stars: ✭ 318 (+657.14%)
Mutual labels: squad
Transformer-QG-on-SQuAD
Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)
Stars: ✭ 28 (-33.33%)
Mutual labels: squad
Reading comprehension tf
Machine Reading Comprehension in Tensorflow
Stars: ✭ 37 (-11.9%)
Mutual labels: squad
FastFusionNet
A PyTorch Implementation of FastFusionNet on SQuAD 1.1
Stars: ✭ 38 (-9.52%)
Mutual labels: squad
Lambdahack
Haskell game engine library for roguelike dungeon crawlers; please offer feedback, e.g., after trying out the sample game with the web frontend at
Stars: ✭ 439 (+945.24%)
Mutual labels: squad
SQUAD2.Q-Augmented-Dataset
Augmented version of SQUAD 2.0 for Questions
Stars: ✭ 31 (-26.19%)
Mutual labels: squad
R Net
A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
Stars: ✭ 321 (+664.29%)
Mutual labels: squad
extractive rc by runtime mt
Code and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"
Stars: ✭ 36 (-14.29%)
Mutual labels: squad
Awesome Qa
😎 A curated list of the Question Answering (QA)
Stars: ✭ 596 (+1319.05%)
Mutual labels: squad
Question-Answering-based-on-SQuAD
Question Answering System using BiDAF Model on SQuAD v2.0
Stars: ✭ 20 (-52.38%)
Mutual labels: squad
co-attention
Pytorch implementation of "Dynamic Coattention Networks For Question Answering"
Stars: ✭ 54 (+28.57%)
Mutual labels: squad
Qanet
A Tensorflow implementation of QANet for machine reading comprehension
Stars: ✭ 996 (+2271.43%)
Mutual labels: squad
Fusionnet
My implementation of the FusionNet for machine comprehension
Stars: ✭ 29 (-30.95%)
Mutual labels: squad
Drqa
A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.
Stars: ✭ 378 (+800%)
Mutual labels: squad
To preprocess data: ./download.sh python3 -m squad.prepro
To run training: python3 -m bidaf.cli --mode train
To debug: python3 -m bidaf.cli --mode train --debug
directory structure: /my: util files /bidaf: bidaf training / testing files /squad: squad dataset preprocessing files
TODOs:
- Saving model weights in main.py
- Multi-GPU training support in model.py and trainer.py
- Summary at the right epoch
- Loss function
- embedded matrix
- Update requirements.txt
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].