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bert

TensorFlow code and pre-trained models for BERT

ccks-2020

CCKS 2020：新冠知识图谱构建与问答评测（四）新冠知识图谱问答评测

ccks2019-ckbqa-4th-codes

中文知识库问答代码，CCKS2019 CKBQA评测第四名解决方案

ckbqa

A Chinese KBQA dataset with SPARQL annotations.

cs224n-stanford-winter-2019

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See，感谢所有助教！

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

embedkgqa

ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

ensemble-learning

hands-on-data-analysis

动手学数据分析以项目为主线，知识点孕育其中，通过边学、边做、边引导来得到更好的学习效果

irn

code and data for my COLING paper "An Interpretable Reasoning Network for Multi-Relation Question Answering"

irn_pytorch

An implementation of "An Interpretable Reasoning Network for Multi-Relation Question Answering" with pytorch

irnqa

Pytorch implementation of "An Interpretable Reasoning Network for Multi-Relation Question Answering"

key-value-memory-networks

The implementation of key value memory networks in tensorflow

key-value-memory-networks-1

Key-Value Memory Networks for Directly Reading Documents, Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston https://arxiv.org/abs/1606.03126

kg-bert

KG-BERT: BERT for Knowledge Graph Completion

kge

LibKGE - A knowledge graph embedding library for reproducible research

mhqg

Source code and dataset for "Difficulty-controllable Multi-hop Question Generation From Knowledge Graphs"

multihopkg

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

neural_temporality_adaptation

Source codes for our paper "Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models" at ACL 2019.

nlp-beginner

NLP上手教程

nlpcc2016kbqa

KBQA based on the NLPCC2016 dataset, including reimplementation of NLPCC2016 best team`s QA.

nltk_data

NLTK Data

paddlenlp

paddlenlp-1

An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.

pytorch-learning

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

research

novel deep learning research works with PaddlePaddle

stagg

study_wavenet

汇总Wavenet模型

team-learning

主要展示Datawhale的组队学习计划。