# L1aoXingyu/Deep-Learning-Project-Template

A best practice for deep learning project template architecture.

Repository: https://github.com/L1aoXingyu/Deep-Learning-Project-Template
Canonical: https://ross.abutalabs.com/products/deep-learning-project-template
Language: Python
License Family: other
Topics: pytorch, pytorch-tutorial, keras, chainer, deep-learning
Last push: 2019-04-12T11:57:59+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3207, "days_push": 2700, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1395, forks 293 (observed 2026-08-28T04:04:36.561336+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, developer-tools, boilerplate
- domain: deep-learning, machine-learning, developer-tools, tutorials
- platform: python
- tags: pytorch, project-template, project-structure, boilerplate, ignite, best-practices

## Member repositories
- L1aoXingyu/Deep-Learning-Project-Template (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:36.561336+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:39:21.831543+00:00, confidence not recorded.
  - readme: https://github.com/L1aoXingyu/Deep-Learning-Project-Template (fetched 2026-08-28T04:04:36.561336+00:00, sha f2534a54233c)
- Data as of 2026-08-30T08:39:29.467469+00:00.