ModelDive
Readable, publication-quality diagrams of neural network architectures, extracted automatically from the model.
Status: early development. Nothing is usable yet. The design is described in DESIGN.md.
Planned usage
import modeldive as md
fig = md.draw(model, detail=2, style="modern")
fig.save("model.svg")
detail sets how deep the diagram goes, from 1 (top-level stages only) to 3 (individual
layers).
Development
Using the pinned Docker environment:
docker build -t modeldive-dev docker/
docker run --rm -v "$PWD":/workspace modeldive-dev \
bash -c 'pip install -q --no-deps -e . && pytest'
License
1 maintainer
Metadata
1 maintainer
Release files for modeldive 0.0.1
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| File | Interpreter | ABI | Platform | Actions Reset |
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| modeldive-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for modeldive-0.0.1-py3-none-any.whl |
Release files / modeldive-0.0.1-py3-none-any.whl
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| Size | 2.9 kB |
| Tags | Python 3 |
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