Skip to main content

Geometric deep learning on air quality data.

Project description

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/

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aq_geometric-2024.9.2.1.tar.gz (70.0 kB view details)

Uploaded Source

Built Distribution

aq_geometric-2024.9.2.1-py3-none-any.whl (118.5 kB view details)

Uploaded Python 3

File details

Details for the file aq_geometric-2024.9.2.1.tar.gz.

File metadata

  • Download URL: aq_geometric-2024.9.2.1.tar.gz
  • Upload date:
  • Size: 70.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for aq_geometric-2024.9.2.1.tar.gz
Algorithm Hash digest
SHA256 f9a6a90a4e321de211de8e463331ca61f40eb1b82cb37f5ae84e0b0b4a1eb113
MD5 ca0700ec7f23bcf8fd87871c717e6a92
BLAKE2b-256 614bec1ec1c004d67814ad605d57786ed80aaba220ecfe202641b93dd2c2673c

See more details on using hashes here.

File details

Details for the file aq_geometric-2024.9.2.1-py3-none-any.whl.

File metadata

File hashes

Hashes for aq_geometric-2024.9.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0b3742ef28397a54f0e13a0add1cb0d27b66134c56ddb2b279125a6fb26b6db1
MD5 11a4e722820d45927d5ceecc751a6f01
BLAKE2b-256 101e445824dd22d05d8c619d054352ec18f38911c07788b5b9478b5f6e7a90b6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page