Overview
This repository contains the code used for geometric deep learning on air-quality data. The code is based on the PyTorch Geometric library.
Generate build artifacts via python3 pip wheel --no-cache-dir --extra-index-url=https://download.pytorch.org/whl/cpu aq-geometric/ -w kubeflow/artifacts/wheels/aq-geometric/
1 maintainer
Metadata
1 maintainer
Release files for aq-geometric 2024.9.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| aq_geometric-2024.9.2.1.tar.gz | 70.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aq_geometric-2024.9.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 188.4 kB
Release files / aq_geometric-2024.9.2.1.tar.gz
| Download URL | aq_geometric-2024.9.2.1.tar.gz |
|---|---|
| Size | 70.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.12.5
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Release files / aq_geometric-2024.9.2.1-py3-none-any.whl
| Download URL | aq_geometric-2024.9.2.1-py3-none-any.whl |
|---|---|
| Size | 118.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/5.1.1 CPython/3.12.5
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Security for aq-geometric 2024.9.2.1
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