Prefect 是一个现代化工作流编排工具,使开发人员能够构建、观察数据管道并对其做出反应
#Awesome#A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
翻译 - 精选的优秀开源库列表,用于部署,监视,版本化和扩展您的机器学习
A curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE)
翻译 - 精选的公开资源集合,介绍了世界各地的技术和精通技术的组织如何实践站点可靠性工程(SRE)
#Awesome#A curated list of articles that cover the software engineering best practices for building machine learning applications.
#计算机科学#An open-source ML pipeline development platform
#计算机科学#Fire up your models with the flame 🔥
#计算机科学#A Collection of GitHub Actions That Facilitate MLOps
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
A pipeline to CI/CD of a machine learning model on Google Cloud Run
Efficient streaming data ingestion, transformation & activation
#大语言模型#Find the samples, in the test data, on which your (generative) model makes mistakes.
Designing IT and ML Applications using Systems Thinking Approach at IIT Bhilai (CS559)
#计算机科学#Serving large ml models independently and asynchronously via message queue and kv-storage for communication with other services [EXPERIMENT]
Dicoding Submission MLOps Heart Failure Detection using ML Pipeline, Heroku Deployment and Prometheus Monitoring
#计算机科学#This GitHub repository showcases the implementation of a comprehensive end-to-end MLOps pipeline using Amazon SageMaker pipelines to deploy and manage 100x machine learning models. The pipeline covers...
Vehicle data classification (supervised, unsupervised learning)
A ready to use architecture for processing data and performing machine learning in Azure
The universal data connector