An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

MLOps tutorial using Python, Docker and Kubernetes.

Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.

CartPole game by Reinforcement Learning, a journey from training to inference

Tool to take your ML model from local to production with one-line of code.

In this repo it is show how to build and deploy a simple pipeline using Kubernetes, Kubeflow pipelines and seldon-core.

💹 Cognitive Services, ML, Machine Learning, Data Ingestion, Azure, Docker, Container, R, Python, C#, Java, Hadoop, Spark etc. This is also a Cognonic reference doc.

There are many reasons that the natural inclination to look at the cloud for execution of Kubernetes data science analytics workloads may not be the best first choice for some organizations but CNCF still shows the way forward towards structuring both infrastructure and applications to embrace on-premise environments that enable either eventual …

Serve contanerized machine learning models in microservice architecture with seldon-core or Tensorflow Serving

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++, Cognonic, etc.

MLOps for Reddit Text Classification using Kubeflow pipelines and related orchestration components

End to end ML production pipeline from training to deployment using MLflow and Seldon Core

Simple docker container to get dcos with k8s and kubeflow

ROCKs for Seldon Core

A SDaaS for building Big Data, Machine Learning and Serverless applications based on cost prediction driven development