Stars
deep learning for image processing including classification and object-detection etc.
Efficient and extensible GNNs enhanced recommender library based on RecBole.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。
⭐ 【开源书籍】深入讲解内核网络、Kubernetes、ServiceMesh、容器等云原生相关技术。经历实践检验的 DevOps、SRE指南。如发现错误，谢谢提issue
[WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation".
Java流行框架源码分析：Spring源码、SpringBoot源码、SpringAOP源码、SpringSecurity源码、SpringSecurity OAuth2源码、JDK源码、Netty源码
[WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Awesome Datasets for Music Recommendation
A collection of simple python mini projects to enhance your python skills
A Curated List of Must-read Papers on Recommender System.
【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容
Finetuning Large Language Models on One Consumer GPU in Under 4 Bits
Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
A collection of phenomenons observed during the scaling of big foundation models, which may be developed into consensus, principles, or laws in the future
The fastai book, published as Jupyter Notebooks
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Official code for VisProg (CVPR 2023 Best Paper!)
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
🛒🛒🛒使用 SSM 搭建的电商网站，数据库采用 MySql。包含用户管理，订单，品类，产品，购物车，地址，在线支付七个模块。项目的演进会逐步融合tomcat集群，nginx负载均衡，redis缓存分布式，redis分布式锁，单点登录，Spring Session，Spring Schedule定时关单，Redisson等
Insightful Tutorials and Papers about Knowledge Graphs