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This project is a Cookiecutter scaffold and data science project template that automates the creation of a consistent folder hierarchy for analytical projects. It provides a standardized directory structure and project skeleton designed to organize data science workflows to support reproducibility and collaboration.
The main features of drivendata/cookiecutter-data-science are: Template-Based Project Scaffolders, Workflow Reproducibility, Project Organization Standards, Reproducible Research, Data Pipeline Layouts, Data Science Project Templates, Pipeline Directory Structuring, Cookiecutter Templates.
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This project is a standardized project template for building Flask applications. It serves as a customizable project scaffold that generates a consistent directory layout and configuration using the Cookiecutter CLI tool. The template provides a pre-configured authentication starter for managing user registration and login flows. It also includes a SQLAlchemy database scaffold with automated schema migrations and an integrated Webpack frontend pipeline for bundling and minifying CSS and JavaScript. The generated structure incorporates modular project architecture through the application fact
This project is a PyTorch project boilerplate and training framework designed to standardize the development of deep learning experiments. It provides a structured directory layout and a set of base classes to bootstrap new projects, ensuring a consistent workflow from data pipeline construction to model execution. The framework distinguishes itself through a centralized configuration manager for hyperparameters that supports command line overrides and a hardware acceleration layer for distributing computational tasks across multiple graphics processing units. It also implements a base-class
cookiecutter-flask is a project scaffolding tool used for bootstrapping Flask web applications. It uses a templating engine to generate a standardized directory structure and configuration files based on user input. The project implements the application factory pattern and blueprint-based modularization to organize application logic and ensure scalability. It integrates secure user authentication systems featuring password hashing, registration forms, and session management. The toolkit covers database schema management through versioned migration scripts and containerization for environmen
This project is a Cookiecutter template for bootstrapping Python packages with a standardized directory layout and configuration files. It provides a foundation for new libraries by generating project structures, boilerplate files, and command-line interface entry points. The template emphasizes a secure software supply chain through hardened build pipelines. It utilizes commit SHA pinning for actions and minimal permission sets to protect against attacks, while providing a setup for building and uploading signed packages to registries using secure identity providers. The project covers a br