An awesome & curated list of best LLMOps tools for developers

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.

Docker images for fastai

🕹️ Performance Comparison of MLOps Engines, Frameworks, and Languages on Mainstream AI Models.

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

Run GPU inference and training jobs on serverless infrastructure that scales with you.

AI-on-OpenShift website source code

This repository teaches how to train, evaluate and deploy ML models using MLFlow

mlflow container setup for docker, docker compose and kubernetes including helm chart

Easily Deploy your Tensorflow models to Heroku with just the click of a button!

Receipes of publicly-available Jupyter images

Bash scripts for building and running a Docker container locally with Apache Airflow Standalone.

Demo BTA Blockchain Code for Blockchain Tethered AI book exercises (Kilroy/Riley/Bhatta, O'Reilly, 2023) blockchaintetheredai.com

Setup AWS EC2 instance from scratch with NVIDIA CUDA, Docker, Packer for AI / ML.

⎈ GitOps cluster template for scientific data analysis

Launch an MLFlow server through Docker

A docker image / script for a comfyui & jupyter notebook server

Run tidyverse, tidymodels, targets, carrier, and MLFlow within Docker

Easy to deploy MLFlow(machine learning lifecycle system)