Pinned Repositories
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
albert_lstm_crf_ner
albert + lstm + crf实体识别，pytorch实现。识别的主要实体是人名、地名、机构名和时间。
alpaca-7b-chinese
Finetune LLaMA-7B with Chinese instruction datasets
busPassengerPredict
chatbot-base-on-Knowledge-Graph
使用深度学习方法解析问题 知识图谱存储 查询知识点 基于医疗垂直领域的对话系统
Chatbot_CN
基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
CSDNBlog-Python-DataMining-Course
为了更好地管理博客文章，分享更好的知识，该系列资源为作者CSDN博客的备份文件。本资源为作者Python数据挖掘课程系列，主要是作者《数据挖掘》、《大数据分析及技术》等课程分享的内容，涉及Python基础知识、网络爬虫、聚类、分类、回归、情感分析、可视化分析等知识，基础性文章，希望对您有所帮助。
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.
GeoTimeWFS
The goal of this project is to enrich geospatial data with linked data so that metadata and temporal revisions are no longer collected by record, but by attribute/triple in the knowledge base. This requires the development of a metadata and time concept that requires a triple declaration of timeliness, quality and origin of the data and that must be dynamically pursued during editing. The second objective of this project is a data suggestion system to enrich the knowledge base in order to facilitate the work of managing geospatial data. An intelligent solution must be developed for this and enriched maps must be displayed and generated dynamically.
KBE-for-Data-Mining
Evaluation of Knowledge Graph Embeddings on Data Mining Tasks
wsj-7416's Repositories
wsj-7416/alpaca-7b-chinese
Finetune LLaMA-7B with Chinese instruction datasets
wsj-7416/AIGC-knowbase
AIGC 知识库
wsj-7416/book3-kg
知识图谱实战-构建方法与行业应用
wsj-7416/chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持自定义函数插件，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python/C++/Go项目树剖析功能/项目源代码自译解能力，新增PDF和Word文献批量总结功能/PDF论文全文翻译功能
wsj-7416/Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU部署 (Chinese LLaMA & Alpaca LLMs)
wsj-7416/ContinueMKGCGC-
Code for the paper "Continual Multimodal Knowledge Graph Construction"
wsj-7416/cs-self-learning
计算机自学指南
wsj-7416/Data-Copilot
Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
wsj-7416/DeepKE
An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.
wsj-7416/Forestry_LAW
基于知识图谱的林业法律法规问答
wsj-7416/GPT_document.ai
基于向量数据库与GPT3.5的通用本地知识库方案(A universal local knowledge base solution based on vector database and GPT3.5)
wsj-7416/Hands-On-Graph-Analytics-with-Neo4j
Hands-On Graph Analytics with Neo4j, Published by Packt
wsj-7416/Huatuo-Llama-Med-Chinese
Repo for BenTsao [original name: HuaTuo (华驼)], Llama-7B tuned with Chinese medical knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的LLaMA模型指令微调
wsj-7416/judicial-administration-ed-
司法行政实体消歧
wsj-7416/KGQA
基于知识图谱的智能问答系统，包含意图识别与类知识库送入LLM方法
wsj-7416/Knowledge-Base-LLMs-QA
👽 基于大模型的知识库问答 | Large model-based knowledge base Q&A.
wsj-7416/Knowledge-Graph-and-Language-Model-for-Question-Answering-System
Question answering system based on QA-GNN architecture with utilization of external context. QA-GNN involves using language models(LMs) to encode QA context and retrieve a knowledge subgraph (KG) from the QA entities. The joint representation of QA context and KG sub graph is passed through graph neural network(GNN) module for reasoning.
wsj-7416/land-graph
wsj-7416/LangChain-ChatGLM-Webui
基于LangChain和ChatGLM-6B等系列LLM的针对本地知识库的自动问答
wsj-7416/LAW-GPT
中文法律对话语言模型
wsj-7416/LaWGPT
🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. 基于中文法律知识的大语言模型
wsj-7416/lawyer-llama
中文法律LLaMA
wsj-7416/ML
此仓库将介绍Deep Learning 所需要的基础知识以及NLP方面的模型原理到项目实操 : )
wsj-7416/neo4j-python-pandas-py2neo-v3
利用pandas将excel中数据抽取，以三元组形式加载到neo4j数据库中构建相关知识图谱
wsj-7416/PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
wsj-7416/prompt-engineering-for-developers
吴恩达大模型系列课程中文版，包括《Prompt Engineering》、《Building System》和《LangChain》
wsj-7416/s2geometry
Computational geometry and spatial indexing on the sphere
wsj-7416/spaghetti
SPAtial GrapHs: nETworks, Topology, & Inference
wsj-7416/TheWorldAvatar
A knowledge-graph-based digital twin of the world.
wsj-7416/wenda
闻达：一个LLM调用平台。为小模型外挂知识库查找和设计自动执行动作，实现不亚于于大模型的生成能力