szagoruyko/wide-residual-networks
3.8% and 18.3% on CIFAR-10 and CIFAR-100 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3760
- days_rel: n/a
- days_push: 2570
- n_releases_24m: 0
Adoption not part of the score
1315 stars · 301 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Reference implementation of Wide Residual Networks (WRN), a ResNet variant that trades depth for width to train faster and achieve state-of-the-art CIFAR, SVHN, COCO, and ImageNet results. Written in Lua for the Torch framework, with pretrained models later integrated into torchvision.
Use cases
- train wide residual networks on CIFAR-10 and CIFAR-100
- reproduce BMVC 2016 WRN paper results
- get a faster alternative to very deep ResNets for image classification
- benchmark new architectures against WRN baselines
- load pretrained WRN ImageNet models via PyTorch Hub
When to choose
- you need the original WRN training code for research reproduction
- you want a strong, fast image classification baseline on CIFAR/SVHN
- you are studying residual network architecture design
When to avoid
- you need actively maintained code - the repo is legacy Torch/Lua and no longer developed
- you want pretrained WRNs in a modern framework - use torchvision's wide_resnet50_2 instead
- you need production deployment tooling
Facets
library · maturity maintenance
machine-learning deep-learning image-processing deep-learning computer-vision machine-learning lua residual-networks cifar torch research-code image-classification gpu
6 sources
- readme: https://github.com/szagoruyko/wide-residual-networks · fetched 2026-08-28 · 71c6763c2d53
- homepage: http://arxiv.org/abs/1605.07146 · fetched 2026-08-29 · e7352f94da47
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| szagoruyko/wide-residual-networks | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="szagoruyko/wide-residual-networks")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem