seldon-core

ML deployment platform

Platform to deploy machine learning models on Kubernetes at scale

Machine Learning Deployment for Kubernetes

GitHub

18 stars
2 watching
3 forks
Language: HTML
last commit: 12 months ago

Related projects:

Repository Description Stars
seldonio/seldon-server A platform for deploying machine learning models into production on-premise or in the cloud using Kubernetes and various machine learning frameworks. 1,473
seldonio/mlserver An inference server for machine learning models with support for multiple frameworks and scalable deployment options. 720
seldonio/seldon-core An MLOps framework for packaging, deploying, and managing machine learning models on Kubernetes at scale 4,384
aws-samples/machine-learning-using-k8s Demystifies deploying machine learning models on Kubernetes 163
caraml-dev/merlin A platform for deploying and serving machine learning models in a scalable, cost-efficient, and easy-to-use manner 167
deploykf/deploykf Builds machine learning platforms on Kubernetes by combining popular tools and services 376
ml-schema/core Develops and maintains a standard ontology of machine learning concepts and their relationships with other vocabularies and ontologies 26
anddimario/stiva A multicontent serverless CMS on AWS with Cognito and DynamoDB 17
combust/mleap Enables deployment of machine learning data pipelines and algorithms to production 1,504
typeable/octopod Automates the deployment and management of Helm Charts in Kubernetes clusters 138
aws-ia/terraform-adobe-magento A Terraform module for deploying Magento Commerce on AWS Cloud 31
samsung/veles A distributed machine learning platform for rapid Deep learning application development 906
a3data/hermione A framework for simplifying machine learning development and deployment 207
bustle/shep Automates deployment of serverless APIs and Lambda functions to AWS API Gateway and Lambda 378