Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

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

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

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

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

A project to kickstart your ML development

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

An end-to-end MLOps pipeline(CI/CD/CT/CM) project for training, versioning, deploying, and monitoring machine learning models using FastAPI, Kubernetes, MLflow, DVC, Prometheus, and Grafana.

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

Here are some common use cases and experiments based on tutorials found at Machine Learning Mastery for the libmlops library.

Here's a common and flexible directory structure that you can use as a starting point for any MLOPS project.

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

MLOps talks - joint effort with Amsterdam MLOps.community

My learning about MLOps

🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/