All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- [Feature] Deployment of Azure Kubernetes Service (AKS) clusters
- [Feature] kubeflow operator or mlflow helm chart installations in deployed AKS clusters
- [Feature] CD workflow for on-demand AKS cluster deployments and kubeflow operator or mlflow helm chart installations.
- [Feature] CD wofklow for on demand deployments of an Azure Storage Account Container (For storing terraform state files)
- [Feature] Added
devcontainer.json
with necessary tooling for local development - [Feature] Simple feedforward neural network with MNIST dataset to map input images to their corresponding digit classes
- [Feature] CNN architecture training considering COCO dataset for image classification AI applications (NOTE: Compute and storage intensive. Read
Download the COCO dataset images
comments on preferred hardware specs) - [Feature] CD workflow for on-demand Azure Container Registry deployments in order to store internal Docker images.
- [Feature] Dockerizing Python (pytorch or tensorflow) applications for ML training and inference
- [Feature] Installation of the Training Operator for CRDs and applying sample TFJob and PyTorchJob k8s manifest