Teresa_Tang's repositories
NLP_resorce_pool
整理NLP相关学习资料，提供系统化的学习路径。
AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
awesome-knowledge-graph
A collection of knowledge graph papers and reading notes.
Bert-Chinese-Text-Classification-Pytorch
使用Bert，ERNIE，进行中文文本分类
bert-utils
一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算
Chinese-relation-extraction
Chinese rule based relation extraction
ConvE
Convolutional 2D Knowledge Graph Embeddings resources
DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
GraphEmbedding-TransX
使用TensorFlow实现对知识图谱的表征学习，包括transe\transd\transh\transr
HyponymyExtraction
HyponymyExtraction and Graph based on KB Schema, Baike-kb and online text extract, 基于知识概念体系，百科知识库，以及在线搜索结构化方式的词语上下位抽取与可视化展示
KB2E
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
kbqa
基于知识库的问答：seq2seq模型实践
KBQA-BERT
基于知识图谱的问答系统，BERT做命名实体识别和句子相似度，分为online和outline模式
lic2019-competition
2019语言与智能技术竞赛-基于知识图谱的主动聊天
MultiKE
Multi-view Knowledge Graph Embedding for Entity Alignment, IJCAI 2019
OpenKE
An Open-Source Package for Knowledge Embedding (KE)
PGPR
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
PyTorch-Course
JULYEDU PyTorch Course
pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
Research
novel deep learning research works with PaddlePaddle
stock-knowledge-graph
利用网络上公开的数据构建一个小型的证券知识图谱/知识库
TextInfoExp
自然语言处理实验（sougou数据集），TF-IDF，文本分类、聚类、词向量、情感识别、关系抽取等
v-note
数据可视化&全栈笔记