Stars
The official GitHub repository of the survey paper "A Systematic Review of Deep Learning-based Research on Radiology Report Generation".
(baseline)医学影像报告生成PromptMRG复现；论文: PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
[EMNLP-2020] The official implementation of Generating Radiology Reports via Memory-driven Transformer.
IU-Xray-Report-Generation is a project aimed at generating medical reports from chest X-ray images. The project leverages advanced deep learning techniques to automatically interpret X-ray images a…
A deep learning model that generates radiology reports from chest X-ray images, combining a ResNet50 visual encoder and a GPT-2 language decoder. Trained and evaluated on the IU Chest X-ray dataset.
This is the code for "Ultrasound Report Generation with Cross-Modality Feature Alignment via Unsupervised Guidance"
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
The repository is for the paper "Integration of Multi-Source Medical Data for Medical Diagnosis Question Answering"
PyTorch implementations of Generative Adversarial Networks.
深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch
🚀 豆包大模型逆向API【特长：超强联网搜索】，零配置部署，多路token支持，仅供测试，如需商用请前往官方开放平台。
2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
AI demo for playing ARPG/Soul-like game with RL frame
新闻网页正文通用抽取器 Beta 版.
Alpaca Chinese Dataset -- 中文指令微调数据集
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
本项目设计了一个基于 RAG 与大模型技术的医疗问答系统，利用 DiseaseKG 数据集与 Neo4j 构 建知识图谱，结合 BERT 的命名实体识别和 34b 大模型的意图识别，通过精确的知识检索和问答生成， 提升系统在医疗咨询中的性能，解决大模型在医疗领域应用的可靠性问题。
医药知识图谱自动问答系统实现，包括构建知识图谱、基于知识图谱的流水线问答以及前端实现。实体识别（基于词典+BERT_CRF）、实体链接（Sentence-BERT做匹配）、意图识别（基于提问词+领域词词典）。
An exploration for Eventline (important news Rank organized by pulic time)，针对某一事件话题下的新闻报道集合，通过使用docrank算法，对新闻报道进行重要性识别，并通过新闻报道时间挑选出时间线上重要新闻。
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。
ChainKnowledgeGraph, 产业链知识图谱包括A股上市公司、行业和产品共3类实体，包括上市公司所属行业关系、行业上级关系、产品上游原材料关系、产品下游产品关系、公司主营产品、产品小类共6大类。 上市公司4,654家，行业511个，产品95,559条、上游材料56,824条，上级行业480条，下游产品390条，产品小类52,937条，所属行业3,946条。
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques