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Name: fanghua

Type: User

Company: neu

Bio: I am a computer master student at Northeastern University in China. My main research direction is the construction and application of knowledge graphs.

Location: **

fanghua's Projects

agriculture_knowledgegraph

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

awesome-llm4ie-papers

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

deepke

An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations

howtocook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

knowledge_graph

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

llm-quickstart

Quick Start for Large Language Models (Theoretical Learning and Practical Fine-tuning) 大语言模型快速入门（理论学习与微调实战）

mega

Code for ACM MM 2021 Paper "Multimodal Relation Extraction with Efficient Graph Alignment".

mooc_downloader

学无止下载器，慕课下载器，Mooc网课下载，慕课网，**大学，网易云课堂，超星学习通，学银在线，学堂在线，爱课程，B站下载；支持视频，课件同时下载

openai-quickstart

A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.

OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constrained knowledge modeling, 2) facts and logic fused representation, 3) kNext SDK(python): LLM-enhanced knowledge construction, reasoning and generation

ourvision-artificial-intelligence-education-knowledge-graph

ourvision 人工智能教育领域的知识图谱构建

paddlebobo

基于飞桨开发的虚拟主播

paddlenlp

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

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