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该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。
深度学习入门教程, 优秀文章, Deep Learning Tutorial
coursera吴恩达机器学习课程作业自写Python版本+Matlab原版
✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。
Latest paper about small object detection
Classic papers for beginners, and impact scope for authors.
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
Pythonic AI generation of images and videos
🚀🎬 ShortGPT - Experimental AI framework for youtube shorts / tiktok channel automation
An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.
Hugging BERT together. Misc scripts for Huggingface transformers.
Source code for AAAI 2022 paper: Unified Named Entity Recognition as Word-Word Relation Classification
Rethinking Negative Instances for Generative Named Entity Recognition
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
Code for the paper "PromptNER: Prompt Locating and Typing for Named Entity Recognition", accepted at ACL 2023.
The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`
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
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。
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。