krisjin / ml-awesome

Machine learning awesome

机器学习相关资料

机器学习工程化，机器学习平台，MLOps

机器学习平台

• Uber 机器学习平台 — 米开朗基罗

• kleveross云原生的机器学习平台

• Uber人工智能相关研究资料

• Gallery: A Machine Learning Model Management System at Uber

• MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis

• Model Governance: Reducing the Anarchy of Production ML

• The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox

• azure机器学习平台文档中文

• Azure Databricks文档

• Machine Learning Model Management in 2020 and Beyond – Everything That You Need to Know

• 美团一站式机器学习平台建设实践

• neptune

• MODELDB: A System for Machine Learning Model Management

• Frameworks for Machine Learning Model Management

• On Challenges in Machine Learning Model Management

• A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

• 4-Steps to Machine Learning Model Management

• Machine Learning Pipeline: Architecture of ML Platform in Production

• Runway: machine learning model experiment management tool

• 解决部署AI系统的最后一公里问题

• Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform

• acumos

• Model Governance: Reducing the Anarchy of Production ML

• Litz: Elastic Framework for High-Performance Distributed Machine Learning

• m-loop

• acumos document

MLOps

• https://github.com/microsoft/MLOps

• https://github.com/cdfoundation/sig-mlops/blob/master/roadmap/2020/MLOpsRoadmap2020.md

• https://twimlai.com/blog/

• https://algorithmia.com/

• https://www.coursera.org/lecture/mlops-fundamentals/concept-overview-Q4H0z

• https://docs.azure.cn/zh-cn/machine-learning/concept-designer

• https://ml-ops.org/

• https://github.com/microsoft/MLOps/tree/master/model-training

• 10 MLops platforms to manage the machine learning lifecycle

• grape up mlops

• MLOps 101: The Foundation for Your AI Strategy -Machine Learning Life-Cycle

搜索场景

• https://github.com/Microsoft/Recommenders