GaoxyingM's repositories
team-learning
主要展示Datawhale的组队学习计划。
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
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_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-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.
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
Research
novel deep learning research works with PaddlePaddle
study_wavenet
汇总Wavenet模型
tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
TransE-Knowledge-Graph-Embedding
TensorFlow implementation of TransE and its extended models for Knowledge Representation Learning