# bentrevett/pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Repository: https://github.com/bentrevett/pytorch-image-classification
Canonical: https://ross.abutalabs.com/products/pytorch-image-classification
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: pytorch, pytorch-tutorial, image-classification, cnn, torchvision, lenet, alexnet, vgg, resnet, tutorial, pytorch-implmention, pytorch-implementation, pytorch-tutorials, pytorch-cnn, convolutional-neural-networks, convolutional-neural-network, convolutional-networks
Last push: 2021-12-28T10:39:52+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2965, "days_push": 1709, "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 1093, forks 254 (observed 2026-08-28T04:03:33.787410+00:00)

## What it is
A collection of Jupyter notebook tutorials teaching how to implement classic image classification architectures (MLP, LeNet, AlexNet, VGG, ResNet) in PyTorch and TorchVision. It is educational material rather than a reusable library.

## Use cases
- learn image classification with pytorch
- implement lenet from scratch in pytorch
- understand how resnet works with code
- pytorch cnn tutorial for beginners
- learn torchvision data loading and augmentation
- implement alexnet and vgg in pytorch

## When to choose
- you want step-by-step explanations of CNN architectures in PyTorch
- you are learning PyTorch/TorchVision fundamentals through notebooks
- you want runnable Colab examples on MNIST and similar datasets

## When to avoid
- you need a production-ready image classification library or pretrained model pipeline
- you need tutorials covering recent architectures or the latest PyTorch versions
- you want a maintained tool rather than educational notebooks

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, image-processing
- domain: deep-learning, computer-vision, tutorials, machine-learning
- platform: python, cross-platform
- tags: pytorch, torchvision, cnn, image-classification, jupyter-notebooks, tutorials, lenet, alexnet, vgg, resnet

## Member repositories
- bentrevett/pytorch-image-classification (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:33.787410+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 2026-08-30T06:47:40.976371+00:00, confidence not recorded.
  - readme: https://github.com/bentrevett/pytorch-image-classification (fetched 2026-08-28T04:03:33.787410+00:00, sha 6b17c45ce734)
- Data as of 2026-08-30T08:39:29.467469+00:00.