ai-starter-kit 0.1.0

Boilerplates and starter templates for learning machine learning and deep learning.

ai-starter-kit

Boilerplates for learning and starting machine learning / deep learning projects. Pick a template, copy it, run it.

Install

pip install ai-starter-kit

Usage

# See available templates
ai-starter-kit list

# Copy a template into the current directory
ai-starter-kit new text_processing

# Copy into a specific folder
ai-starter-kit new text_processing --dest ./my-project

Each template ships with its own requirements.txt — install those separately once you've copied a template, since they aren't bundled as dependencies of ai-starter-kit itself.

Available templates

Template	Description
text_processing	Chains common NLP preprocessing steps (noise/punctuation removal, tokenization, stopword removal, stemming, lemmatization) behind a fluent TextProcessor API using NLTK.

More templates will be added as the project grows.

Development

To set up a local environment for running the test suite:

# Windows
powershell -ExecutionPolicy Bypass -File .\scripts\bootstrap.ps1

# macOS/Linux
./scripts/bootstrap.sh

This creates a .venv, installs the package in editable mode, and pulls in dev/test dependencies (click, nltk, pytest). Then activate it and run the tests:

# Windows
. .\.venv\Scripts\Activate.ps1
pytest -v

# macOS/Linux
source .venv/bin/activate
pytest -v

Contributing

New templates are welcome. Add a folder under src/ai_starter_kit/templates/<name>/ with a main.py and requirements.txt, then open a PR.

License

MIT