This repository contains machine learning pipeline and microservice templates that you can use to bootstrap your projects, with the kettle CLI.
- Install the kettle CLI;
- Use
kettle create <template-name>where the template name is in the first column below 👇
| kettle create | Description |
|---|---|
| pyenv-aws-lambda | Create a Python AWS Lambda function and set it up locally with pyenv and pyenv-virtualenv |
| conda-aws-lambda | Create a Python AWS Lambda function and set it up locally with conda |
| golang-aws-lambda | A Go template for a basic AWS Lambda function |
| golang-aws-lambda-dynamo-s3 | A Go template for a AWS Lambda function that includes initialising code for Dynamo DB and s3. |
| kettle create | Description |
|---|---|
| pyenv-gcloud-function | Create a Python Cloud Function function and set it up locally with pyenv and pyenv-virtualenv |
| golang-gcloud-function | A Go template for a Google Cloud function |
| kettle create | Description |
|---|---|
| pyenv-gcloud-run | Create a Python Cloud Run container and set it up locally with pyenv and pyenv-virtualenv |
| golang-gcloud-run | A Go template for a Google Cloud Run container |