MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone

ModelScope-Agent: An agent framework connecting models in ModelScope with the world

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

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

哈工大bert上fine turning ，中文人物关系抽取任务准确率0.97

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

Text2SQL 语义解析数据集、解决方案、paper资源整合项目

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

基于D3.js的Neo4j网络图可视化(Visualization of Neo4j Network Graph Based on D3.js

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。

基于知识库的问答：seq2seq模型实践

Text Content Grapher based on keyinfo extraction by NLP method。输入一篇文档，将文档进行关键信息提取，进行结构化，并最终组织成图谱组织形式，形成对文章语义信息的图谱化展示。

百度NLP：分词，词性标注，命名实体识别，词重要性

Python package built to ease deep learning on graph, on top of existing DL frameworks.

rscup: 遥感图像场景分类

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…

面向医疗领域的知识图谱构建

可爱的博客园样式美化、自定义博客园样式

100+ Chinese Word Vectors 上百种预训练中文词向量

Must-read papers on entity alignment published in recent years

Best Practices on Recommendation Systems

PySpark算子及空间应用的各个Demo

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容