YukkiKaze's repositories
alertmanager
Prometheus Alertmanager
AzurLaneAutoScript
Azur Lane bot (CN/EN/JP/TW) 碧蓝航线脚本 | 无缝委托科研，全自动大世界
beta-recsys
Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
CaseRecommender
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
clash-verge
A Clash GUI based on tauri. Supports Windows, macOS and Linux.
Clash.Meta
A rule-based tunnel in Go.
consul
Consul is a distributed, highly available, and data center aware solution to connect and configure applications across dynamic, distributed infrastructure.
Context-Aware-Recommender
Hybrid Recommender System
CRIS
Official implementation of Interest Sustainability-Aware Recommender System [ICDM'20]
dockprom
Docker hosts and containers monitoring with Prometheus, Grafana, cAdvisor, NodeExporter and AlertManager
envoy
Cloud-native high-performance edge/middle/service proxy
fluent-bit
Fast and Lightweight Log processor and forwarder for Linux, BSD and OSX
gitrec
A TikTok-like recommender system for GitHub repositories based on Gorse
go-agentx
Golang AgentX implementation for SNMP extension
go-control-plane
Go implementation of data-plane-api
gorse
An open source recommender system service written in Go
iDRAC-Redfish-Scripting
Python and PowerShell scripting for Dell EMC PowerEdge iDRAC REST API with DMTF Redfish
jina
An easier way to build neural search on the cloud
katacoda-scenarios
Katacoda Scenarios
learngo
1000+ Hand-Crafted Go Examples, Exercises, and Quizzes
mib2zabbix
SNMP Template generator for Zabbix
netlink
Package netlink provides low-level access to Linux netlink sockets. MIT Licensed.
pku_thesis_docx
docx版本的北京大学毕业论文模板
PKULTD
PKU Library Thesis Download
prometheus
The Prometheus monitoring system and time series database.
Python
All Algorithms implemented in Python
ShellCrash
One-click deployment and management services using Shell scripts in Linux environment
sre-interview-prep-guide
Site Reliability Engineer Interview Preparation Guide
Waking-Up
计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试:rocket:；可用于模拟面试、面试前复习、短期内快速备战面试...