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机器学习平台架构

offline

开源平台

xlearn---High Performance, Easy-to-use, and Scalable Machine Learning Package

angel---A Flexible and Powerful Parameter Server for large-scale machine learning

EasyML---Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.

深度学习

DeepSpeech---A TensorFlow implementation of Baidu's DeepSpeech architecture

online

predictionio---Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task.

SeldonIO/seldon-server---Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production.

商业平台

BigML、Seldon、Algorithmia

技术

模型

sklearn2pmml

Java PMML API---Java libraries for producing and consuming PMML documents

存储

Cassandra NoSQL数据模型设计指南

kudu VS Hbase

计算

apache 流框架Flink、spark streaming和storm对比分析

容器化

kubeflow---Machine Learning Toolkit for Kubernetes

Docker 核心技术与实现原理

业界实践介绍

利用已有的大数据技术,如何构建机器学习平台---同程

饿了么大数据平台建设

Facebook服务于20亿人的应用机器学习平台是如何建成的?

Uber的机器学习平台:从打车到外卖,一个平台如何服务数十个团队?

微博深度学习平台架构和实践