modinit
modinit is a Python package that helps you quickly scaffold AI model training repositories with a standardized, best-practice structure. It saves you time and ensures consistency across your machine learning projects.
Why use modinit?
- Instant project setup: Get started with a ready-to-use directory structure in seconds.
- Best practices built-in: Follows common conventions for organizing data, code, configs, and tests.
- Docstring templates: All generated Python files include helpful docstrings.
- Easy to use: Simple command-line interface.
Demo
Installation
pip install modinit
Usage
To create a new project, run:
modinit my-project
This will generate a new directory called my-project with a recommended structure for AI/ML projects.
Example
Below is a real example of using modinit to create a project called voice-rumba:
$ pip install modinit
$ modinit voice-rumba
Successfully created project: voice-rumba
To get started, navigate to the project directory:
cd voice-rumba
The generated structure looks like this:
voice-rumba/
├── README.md
├── .gitignore
├── configs/
│ └── config.yaml
├── data/
│ ├── raw/
│ ├── processed/
│ └── interim/
├── main.py
├── notebooks/
│ └── prototype.ipynb
├── requirements.txt
├── src/
│ ├── __init__.py
│ ├── data.py
│ ├── evaluate.py
│ ├── model.py
│ ├── train.py
│ └── utils.py
└── tests/
├── __init__.py
├── test_data.py
├── test_model.py
└── test_train.py
Features
- Creates a well-structured project directory for AI model training
- Follows best practices for machine learning project organization
- Includes helpful docstrings in all generated files
- Simple command-line interface
Development
To contribute to this project:
- Clone the repository
- Create a virtual environment
- Install development dependencies:
pip install -e ".[dev]" - Make your changes
- Run tests:
pytest
License
MIT
Metadata
Release files for modinit 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| modinit-0.1.1.tar.gz | 14.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| modinit-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.4 kB
Release files / modinit-0.1.1.tar.gz
| Download URL | modinit-0.1.1.tar.gz |
|---|---|
| Size | 14.7 kB |
| Tags | Source |
|
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No |
| Uploaded via |
twine/6.1.0 CPython/3.12.10
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Release files / modinit-0.1.1-py3-none-any.whl
| Download URL | modinit-0.1.1-py3-none-any.whl |
|---|---|
| Size | 19.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.10
|