seldon-core

MLOps framework

An MLOps framework for packaging, deploying, and managing machine learning models on Kubernetes at scale

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

GitHub

4k stars
86 watching
833 forks
Language: HTML
last commit: about 1 month ago
Linked from 6 awesome lists

aiopsdeploymentkubernetesmachine-learningmachine-learning-operationsmlopsproduction-machine-learningserving

Backlinks from these awesome lists:

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. 1,472
axsaucedo/seldon-core Platform to deploy machine learning models on Kubernetes at scale 18
seldonio/mlserver An inference server for machine learning models with support for multiple frameworks and scalable deployment options. 737
seldonio/tempo An MLOps Python library that enables data scientists to deploy and orchestrate machine learning pipelines for production-ready inference. 117
cortexlabs/cortex A production-ready infrastructure for deploying and managing machine learning models at scale 8,026
sematic-ai/sematic An open-source platform for building and managing machine learning pipelines with Python 976
tensorflow/serving A high-performance serving system for machine learning models in production environments. 6,195
kubeflow/pipelines A tool for building and managing machine learning workflows on Kubernetes. 3,634
mlflow/mlflow A platform for managing machine learning projects from inception to deployment 19,021
dotnet/machinelearning A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML. 9,071
gokumohandas/made-with-ml Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications 37,816
combust/mleap Enables deployment of machine learning pipelines from Spark and Scikit-Learn to production 1,506
tkuanlun350/tensorflow-segnet A TensorFlow-based implementation of the SegNet segmentation algorithm, with modifications to address index unravel issues and support multiple features such as dilation and multi-resolution learning. 369
sarus-tech/tf2-published-models Implementations of classical machine learning models using TensorFlow 2 and Keras API. 38
deploykf/deploykf Builds machine learning platforms on Kubernetes by combining popular tools and services 381