seldon-core
ML deployment platform
Platform to deploy machine learning models on Kubernetes at scale
Machine Learning Deployment for Kubernetes
18 stars
2 watching
3 forks
Language: HTML
last commit: almost 3 years agoRelated 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. | 1,472 |
| seldonio/mlserver | An inference server for machine learning models with support for multiple frameworks and scalable deployment options. | 737 |
| seldonio/seldon-core | An MLOps framework for packaging, deploying, and managing machine learning models on Kubernetes at scale | 4,409 |
 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 | 168 |
 deploykf/deploykf | Builds machine learning platforms on Kubernetes by combining popular tools and services | 381 |
 ml-schema/core | Develops and maintains a standard ontology of machine learning concepts and their relationships with other vocabularies and ontologies | 27 |
 anddimario/stiva | A multicontent serverless CMS on AWS with Cognito and DynamoDB | 17 |
 combust/mleap | Enables deployment of machine learning pipelines from Spark and Scikit-Learn to production | 1,506 |
 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 | 905 |
 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 |