r1-12king's Stars
jiaojiaoguan/GOPhage
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
DerekYRC/mini-spring
mini-spring是简化版的spring框架,能帮助你快速熟悉spring源码和掌握spring的核心原理。抽取了spring的核心逻辑,代码极度简化,保留spring的核心功能,如IoC和AOP、资源加载器、事件监听器、类型转换、容器扩展点、bean生命周期和作用域、应用上下文等核心功能。
jiaojiaoguan/phagenus
YunaiV/yudao-cloud
ruoyi-vue-pro 全新 Cloud 版本,优化重构所有功能。基于 Spring Cloud Alibaba + MyBatis Plus + Vue & Element 实现的后台管理系统 + 用户小程序,支持 RBAC 动态权限、多租户、数据权限、工作流、三方登录、支付、短信、商城、CRM、ERP、AI 大模型等功能。你的 ⭐️ Star ⭐️,是作者生发的动力!
YunaiV/ruoyi-vue-pro
🔥 官方推荐 🔥 RuoYi-Vue 全新 Pro 版本,优化重构所有功能。基于 Spring Boot + MyBatis Plus + Vue & Element 实现的后台管理系统 + 微信小程序,支持 RBAC 动态权限、数据权限、SaaS 多租户、Flowable 工作流、三方登录、支付、短信、商城、CRM、ERP、AI 大模型等功能。你的 ⭐️ Star ⭐️,是作者生发的动力!
xiaolyuh/layering-cache
为监控而生的分布式多级缓存框架
iHouse3D/iHouse3D
iHouse3D is a web application that allows users to design an interior space such as a home or apartment.
EbookFoundation/free-programming-books
:books: Freely available programming books
Light-City/CPlusPlusThings
C++那些事
miloyip/json-tutorial
从零开始的 JSON 库教程
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
sisinflab/adversarial-recommender-systems-survey
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
microsoft/winget-pkgs
The Microsoft community Windows Package Manager manifest repository
Genymobile/scrcpy
Display and control your Android device
wyl6/Recommender-Systems-Samples
Codes repository for RecSys and DeepLearnig, RecSys and ReinForcement learning and Traditioinal RecSys.
aristocratos/bashtop
Linux/OSX/FreeBSD resource monitor
librahu/HeGAN
Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"
ryanhaining/cppitertools
Implementation of python itertools and builtin iteration functions for C++17
pezy/CppPrimer
:books: Solutions for C++ Primer 5th exercises.
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
DIYgod/RSSHub-Radar
🧡 Browser extension that simplifies finding and subscribing RSS and RSSHub
nagadomi/waifu2x
Image Super-Resolution for Anime-Style Art
RUCAIBox/RSPapers
Must-read papers on Recommender System. 推荐系统相关论文整理(内含40篇论文,并持续更新中)
fengdu78/Data-Science-Notes
数据科学的笔记以及资料搜集
PonderLY/NetworkEmbedding
Adversarial training framework for homogeneous and heterogeneous network embedding
torvalds/linux
Linux kernel source tree
yangyangwithgnu/hardseed
SEX IS ZERO (0), so, who wanna be the ONE (1), aha?
danielzuegner/netgan
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
iawia002/lux
👾 Fast and simple video download library and CLI tool written in Go