Napistu PyTorch Library
Python package supporting integration of Napistu network graphs and PyTorch NNs
This Python package builds on the Napistu Python package with PyTorch-specific data, model, and results management. As part of the broader Napistu project this work is intended to create and interrogate genome-scale networks of cellular physiology.
Setup
Napistu is available on PyPI so the recommended way to use it is just to pip install with:
pip install napistu-torch
Alternatively, you can clone this repository and perform a local install. e.g., from this directory:
pip install .
Mac setup
uv pip install torch==2.8.0
uv pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.8.0+cpu.html
uv install 'napistu-torch[dev]'
Documentation
- 🚸 Project Documentation: napistu/wiki
Advanced setup
Wandb
If this is your first time using wandb, you'll need to authenticate:
- Go to https://wandb.ai/ and create an account
- Get your API key from https://wandb.ai/authorize
- Run: wandb login
- Or set environment variable: export WANDB_API_KEY=your_api_key_here
1 maintainer
Metadata
1 maintainer
Release files for napistu-torch 0.4.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| napistu_torch-0.4.0.tar.gz | 301.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napistu_torch-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 644.5 kB
Release files / napistu_torch-0.4.0.tar.gz
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Transparency logRelease files / napistu_torch-0.4.0-py3-none-any.whl
| Download URL | napistu_torch-0.4.0-py3-none-any.whl |
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| Size | 342.6 kB |
| Tags | Python 3 |
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twine/6.1.0 CPython/3.13.12
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