# shanglianlm0525/PyTorch-Networks

Pytorch implementation of cnn network

Repository: https://github.com/shanglianlm0525/PyTorch-Networks
Canonical: https://ross.abutalabs.com/products/pytorch-networks
Language: Python
License Family: other
Last push: 2025-10-11T06:07:56+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 46, release rhythm 35, longevity 100
- inputs: {"age_days": 2533, "days_push": 326, "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 2055, forks 481 (observed 2026-08-28T04:06:09.803145+00:00)

## What it is
A collection of PyTorch implementations of classic and modern CNN architectures, covering classification, detection, segmentation, face, and pose estimation networks. It serves as a reference/learning resource for computer vision model implementations.

## Use cases
- implement resnet or vgg in pytorch
- learn how yolov3 works by reading code
- find a lightweight mobilenet implementation
- pytorch code for semantic segmentation like fcn
- reference implementations of cnn architectures
- pytorch centernet or retinanet implementation

## When to choose
- you want readable reference implementations of many CNN architectures in one place
- you are learning deep learning and want to study model code
- you need a quick starting point for a classic vision backbone

## When to avoid
- you need production-ready, well-tested models with pretrained weights and an API
- you need a license-cleared dependency (the repo has no license)
- you need the latest SOTA architectures or active maintenance guarantees

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning
- domain: deep-learning, computer-vision, image-processing
- platform: python
- tags: pytorch, cnn, image-classification, object-detection, semantic-segmentation, model-zoo, educational

## Member repositories
- shanglianlm0525/PyTorch-Networks (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:09.803145+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 2026-08-30T02:57:17.062672+00:00, confidence not recorded.
  - readme: https://github.com/shanglianlm0525/PyTorch-Networks (fetched 2026-08-28T04:06:09.803145+00:00, sha 98b120a54689)
- Data as of 2026-08-30T08:39:29.467469+00:00.