merlin
ML deployment platform
A platform for deploying and serving machine learning models in a scalable, cost-efficient, and easy-to-use manner
Kubernetes-friendly ML model management, deployment, and serving.
167 stars
12 watching
43 forks
Language: Go
last commit: 7 days ago
Linked from 1 awesome list
machine-learningmlops
Related projects:
Repository | Description | Stars |
---|---|---|
deploykf/deploykf | Builds machine learning platforms on Kubernetes by combining popular tools and services | 376 |
omegaml/omegaml | An end-to-end MLOps platform that streamlines machine learning development, deployment, and collaboration. | 95 |
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 |
balavenkatesh3322/model_deployment | Provides tools and frameworks for deploying machine learning models in production environments | 73 |
mlreef/mlreef | A platform for collaboration, data management, and reproducibility in machine learning development | 1,442 |
combust/mleap | Enables deployment of machine learning data pipelines and algorithms to production | 1,504 |
star-whale/starwhale | An MLOps platform providing tools and services for efficient machine learning development and deployment | 208 |
aporia-ai/mlplatform-workshop | An open-source project providing a basic framework for building a full-fledged machine learning platform. | 434 |
runllm/aqueduct | An MLOps framework that allows developers to define and deploy machine learning workloads on any cloud infrastructure using a Python native API. | 521 |
aws-samples/machine-learning-using-k8s | Demystifies deploying machine learning models on Kubernetes | 163 |
cdipaolo/goml | A Go library that provides an online machine learning framework with various algorithms and models | 1,568 |
mlrun/mlrun | A platform for managing and deploying machine learning workflows across the application lifecycle | 1,446 |
ebhy/budgetml | Simplifies deployment of machine learning models to production-ready endpoints with minimal configuration and cost. | 1,338 |
ankane/trove | A tool that allows developers to deploy and manage machine learning models in Ruby applications | 66 |
axsaucedo/seldon-core | Platform to deploy machine learning models on Kubernetes at scale | 18 |