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kubeflow/kubeflow

Kubeflow is a machine learning toolkit for building and deploying scalable ML pipelines on Kubernetes.

15.5K

Active

ML Ops

Kubernetes

#machine-learning#kubernetes#tensorflow

tencentmusic/cube-studio

An open-source cloud-native AI platform for ML/DL workflows, model serving, and distributed training.

4.9K

Stable

Python

MLOps

BaaS Platforms

PyTorch

#ai-platform#mlops#model-serving

data-science-on-aws/data-science-on-aws

This GitHub repository provides AI and Machine Learning tutorials and examples using Kubeflow, Amazon EKS, and SageMaker.

3.4K

Archived

Jupyter Notebook

ML Ops

API Frameworks

Kubernetes

#machine-learning#ai#kubernetes

elyra-ai/elyra

Elyra extends JupyterLab with an AI-centric approach for developing and deploying ML/AI pipelines.

2.0K

Active

Python

ML Ops

MCP Frameworks

JupyterLab

#ai#machine-learning#jupyterlab

kubeflow/examples

A repository hosting extended examples and tutorials for the Kubeflow machine learning platform.

1.5K

Experimental

Jsonnet

ML Ops

API Frameworks

Jsonnet

#kubeflow#machine-learning#examples

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