mlrun/genai-factory

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Python
Created 6 months ago
Updated 4 months ago

mlrun/genai-factory

mlrun

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Rapid build and deployment of Gen AI applications

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

flowless

serverless real-time workflow

mlutils

demos-datasets

Holds datasets for mlrun demos, released and versioned

frameworks

mlrun ML/DL framework specific code

controller