Public repo for DeepLearning.AI MLEP Specialization
翻译 - DeepLearning.AI MLEP专业化的公共仓库
A curated list of Site Reliability and Production Engineering resources.
翻译 - 站点可靠性和生产工程资源的精选列表。
A curated list of Site Reliability and Production Engineering Tools
#计算机科学#Kedro 是一个用于构建可重现、可维护和模块化的数据科学代码的Python框架。它借鉴了软件工程的理念并将其应用于机器学习
Engineering Production-Grade Shiny Apps — Published in the R Series
Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
Machine Learning Engineering for Production (MLOps) Coursera Specialization
kubernetes（简称K8s），是用于自动部署、扩展和管理“容器化（containerized）应用程序”的开源系统，其的目标是让部署容器化的应用简单并且高效。
Production First and Production Ready End-to-End Speech Recognition Toolkit
翻译 - 生产优先和生产就绪的端到端语音识别工具包
#大语言模型#Run any open-source LLMs, such as Llama, Gemma, as OpenAI compatible API endpoint in the cloud.
Google's Engineering Practices documentation
翻译 - Google的工程实践文档
Kubespray 用于部署生产环境Kubernetes集群
#计算机科学#The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
翻译 - 轻松进行模型服务
Production Quality Meteor Deployments
Peace of mind from prototype to production
翻译 - 富有成效。可靠。快速。
Resilience engineering papers
翻译 - 弹性工程论文