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kevin's Projects

redis-replicator icon redis-replicator

Redis replication tool. support sync, psync, psync2. can parse rdb, aof, mixed rdb and aof files. support redis-6.0

renren-fast-vue icon renren-fast-vue

renren-fast-vue基于vue、element-ui构建开发,实现renren-fast后台管理前端功能,提供一套更优的前端解决方案。

restic icon restic

Fast, secure, efficient backup program

retailscm-biz-suite icon retailscm-biz-suite

供应链中台系统基础版,集成零售管理, 电子商务, 供应链管理, 财务管理, 车队管理, 仓库管理, 人员管理, 产品管理, 订单管理, 会员管理, 连锁店管理, 加盟管理, 前端React/Ant Design, 后端Java Spring+自有开源框架,全面支持MySQL, PostgreSQL, 全面支持国产数据库南大通用GBase 8s,通过REST接口调用,前后端完全分离。

roomler icon roomler

Roomler - Video collaboration tool using WebRTC (Janus Gateway)

roseprisma icon roseprisma

使用深度学习算法将玫瑰花图片内容和另一幅图片的风格融合在一起

ruoyi-cloud icon ruoyi-cloud

springcloud版本的若依,集成springcloud的几大神兽:eureka,gateway,hystrix,feign,config.自定义token实现授权,直接存到redis

rxffmpeg icon rxffmpeg

🔥RxFFmpeg 是基于 ( FFmpeg 4.0 + X264 + mp3lame + fdk-aac ) 编译的适用于 Android 平台的音视频编辑、视频剪辑的快速处理框架,包含以下功能(视频拼接,转码,压缩,裁剪,片头片尾,分离音视频,变速,添加静态贴纸和gif动态贴纸,添加字幕,添加滤镜,添加背景音乐,加速减速视频,倒放音视频,音频裁剪,变声,混音,图片合成视频,视频解码图片等主流特色功能

sanddance icon sanddance

Visually explore, understand, and present your data.

sbtream icon sbtream

获取斗鱼&虎牙&哔哩哔哩&抖音&网易CC&火猫&企鹅电竞&YY直播&一直播&快手&花椒&映客 等直播平台的真实流媒体地址(直播源),可在PotPlayer、flv.js等播放器中播放。

scitime icon scitime

Training time estimation for scikit-learn algorithms

sealos icon sealos

以kubernetes为内核的云操作系统发行版,3min 一键高可用安装自定义kubernetes,500M,100年证书,版本不要太全,生产环境稳如老狗🔥 ⎈ 🐳

share_ppt icon share_ppt

🚗 我个人曾经做过的技术分享...

sharingan icon sharingan

Sharingan(写轮眼)是一个基于golang的流量录制回放工具,适合项目重构、回归测试等。

slardar icon slardar

Updating your upstream list and run lua scripts without reloading Nginx.

smarterstreaming icon smarterstreaming

国内外为数不多致力于极致体验的超强全自研跨平台(windows/android/iOS)流媒体内核,通过模块化自由组合,支持实时RTMP推流、RTSP推流、RTMP播放器、RTSP播放器、录像、多路流媒体转发、音视频导播、动态视频合成、音频混音、直播互动、内置轻量级RTSP服务等,比快更快,业界真正靠谱的超低延迟直播SDK(1秒内,低延迟模式下200~400ms)。

smartide icon smartide

Be a Smart Developer, 开发从未如此简单

smp-keyword-extraction icon smp-keyword-extraction

CSDN博客的关键词提取算法,融合TF,IDF,词性,位置等多特征。该项目用于参加2017 SMP用户画像测评,排名第四,在验证集中精度为59.9%,在最终集中精度为58.7%。模型并未使用机器学习的方法,具有较强的泛化能力。

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