L1aoXingyu/Deep-Learning-Project-Template resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1395 stars · 293 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch project template providing a well-designed folder structure and OOP conventions for deep learning projects. It wraps common scaffolding (config, modeling, engine, tools) so developers can focus on model architecture and training logic.

Use cases

• start a new pytorch project with a clean structure
• organize deep learning code into folders
• learn best practices for pytorch project layout
• scaffold a deep learning training pipeline
• avoid repeating boilerplate in pytorch experiments
• structure a research codebase with config and trainer separation

When to choose

• starting a fresh PyTorch project and wanting a proven folder layout
• learning how to structure deep learning codebases
• wanting a minimal, readable template rather than a heavy framework

When to avoid

• you need an actively maintained tool with releases and support
• you prefer high-level training frameworks like PyTorch Lightning or fastai
• you need a license for commercial use (none is provided)
• you work outside PyTorch (e.g., TensorFlow or JAX)

Facets

learning-resource · maturity maintenance

deep-learning machine-learning developer-tools boilerplate deep-learning machine-learning developer-tools tutorials python pytorch project-template project-structure boilerplate ignite best-practices

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markdown · JSON · MCP: product_card(name="L1aoXingyu/Deep-Learning-Project-Template")