🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/
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Updated
May 7, 2021 - Python
🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/
My learning about MLOps
MLOps talks - joint effort with Amsterdam MLOps.community
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Here's a common and flexible directory structure that you can use as a starting point for any MLOPS project.
Here are some common use cases and experiments based on tutorials found at Machine Learning Mastery for the libmlops library.
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.
A project to kickstart your ML development
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.
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
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