gwding/draw_convnet
None observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3843
- days_rel: n/a
- days_push: 802
- n_releases_24m: 0
Adoption not part of the score
2860 stars · 519 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python script that generates illustrations of Convolutional Neural Network (ConvNet) architectures using matplotlib. It produces publication-quality figures showing network layers and feature channels, useful for papers and teaching.
Use cases
- draw a convolutional neural network diagram for a paper
- visualize convnet architecture layers
- generate CNN figures for teaching materials
- create neural network illustrations with matplotlib
- make a convnet figure with omitted channels
When to choose
- you need a static ConvNet architecture figure for a paper or slides
- you want a simple, dependency-light matplotlib-based drawing script
When to avoid
- you need interactive or web-based neural network visualization
- you want to visualize live training or real model weights
- you need diagrams of architectures beyond convolutional networks
Facets
library · maturity maintenance
data-visualization deep-learning deep-learning data-visualization education python convnet diagram-generation matplotlib educational-figures neural-network-visualization
1 source
- readme: https://github.com/gwding/draw_convnet · fetched 2026-08-28 · b1b1d66f7d6b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| gwding/draw_convnet | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="gwding/draw_convnet")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem