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@mlrun

mlrun

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mlrun

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

demos

End to end MLRun demos

Jupyter Notebook

storey

real-time data + ML pipeline

demo-github-actions

demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions

Jupyter Notebook

functions

MLRun template functions and examples

Jupyter Notebook

demo-llm-tuning

Demo MLRun project for LLM Tuning and serving pipelines

Jupyter Notebook

ce

MLRun Community Edition

ui

UI of MLRun — Machine Learning automation and tracking

demo-image-classification

Jupyter Notebook

demo-network-operations

Jupyter Notebook

demo-stocks

Jupyter Notebook

demo-llm-bot

Interactive bot demo using LLMs and MLRun

Jupyter Notebook

marketplace

demo-fraud

MLRun Fraud detection demo

Jupyter Notebook

demo-xgb-project

demo the work of MLRun with Github webhooks

Jupyter Notebook

demo-call-center

Demo the use of GenAI to transcribe and analyze audio calls

Jupyter Notebook

test-git-load

used for testing mlrun work with git archives

genai-factory

Rapid build and deployment of Gen AI applications

flowless

serverless real-time workflow

mlutils

demos-datasets

Holds datasets for mlrun demos, released and versioned

frameworks

mlrun ML/DL framework specific code

controller