# ZhugeKongan/torch-template-for-deep-learning

Pytorch Implementations of large number  classical backbone CNNs, data enhancement, torch loss, attention, visualization and  some common algorithms.

Repository: https://github.com/ZhugeKongan/torch-template-for-deep-learning
Canonical: https://ross.abutalabs.com/products/torch-template-for-deep-learning
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2022-03-08T13:08:59+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": 1728, "days_push": 1639, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1269, forks 201 (observed 2026-08-28T04:04:11.589245+00:00)

## What it is
A PyTorch template repository collecting implementations of classical backbone CNNs, data augmentation techniques, loss functions, attention modules, and visualization utilities. It includes a training script and dataset loaders to serve as a starting point for deep learning projects.

## Use cases
- pytorch implementations of classical cnn backbones
- data augmentation techniques like mixup and cutmix in pytorch
- pytorch training script template to start a project
- attention module implementations in pytorch
- deploy a pytorch model to web or c++
- learn pytorch loss functions and visualization

## When to choose
- you want a ready-made PyTorch project skeleton with training, augmentation, and model code
- you need reference implementations of classic CNN backbones or augmentation methods
- you are learning PyTorch through concrete examples

## When to avoid
- you need a production-grade, actively maintained training framework
- you require the latest model architectures or recent PyTorch version support
- you want a polished library with stable APIs and documentation

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, image-processing, data-visualization
- domain: deep-learning, machine-learning, computer-vision, tutorials
- platform: python
- tags: pytorch, cnn-backbones, data-augmentation, attention, model-template, reference-implementations

## Member repositories
- ZhugeKongan/torch-template-for-deep-learning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:11.589245+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 2026-08-30T05:03:30.650902+00:00, confidence not recorded.
  - readme: https://github.com/ZhugeKongan/torch-template-for-deep-learning (fetched 2026-08-28T04:04:11.589245+00:00, sha 4643f048928e)
- Data as of 2026-08-30T08:39:29.467469+00:00.