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awesome-knowledge-graph

整理知识图谱相关学习资料

awesome_chinese_medical_nlp

中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

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.

deepie

DeepIE: Deep Learning for Information Extraction

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

dygiepp

Span-based system for named entity, relation, and event extraction.

flat-lattice-transformer

code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer

gcn-align

Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

instructor

openai function calls for humans

jupyters_and_slides

kgqa-based-on-medicine

基于医药知识图谱的智能问答系统

knowledgegraphcourse

东南大学《知识图谱》研究生课程

knowledgegraphfusion

CCF ADL 2019 slides for knowledge graph fusion

lantern

蓝灯Windows下载 https://raw.githubusercontent.com/getlantern/lantern-binaries/master/lantern-installer.exe 蓝灯安卓下载 https://raw.githubusercontent.com/getlantern/lantern-binaries/master/lantern-installer.apk

latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

mr.-ranedeer-ai-tutor

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

multike

Multi-view Knowledge Graph Embedding for Entity Alignment, IJCAI 2019

nlp-beginner

NLP上手教程

nlp-journey

nlp相关的一些论文及代码, 包括词向量(Word Embedding)、命名实体识别(NER)、文本分类(Text Classificatin)、文本生成、文本相似性(Text Similarity)计算等，基于keras和tensorflow

nlp_assignment

培训课程作业

nlp_course_project1

NLP课程项目作业

opennre

An Open-Source Package for Neural Relation Extraction (NRE) implemented in TensorFlow

promptflow

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

pytorch-relation-extraction

distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取

qasystemonmedicalgraph

该项目是基于医疗领域知识图谱的问答系统。实现比较简单。

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

references

tapas

End-to-end neural table-text understanding models.