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-2024.8.18.1.tar.gz (67.1 kB view details)

Uploaded Source

Built Distribution

aq_geometric-2024.8.18.1-py3-none-any.whl (114.9 kB view details)

Uploaded Python 3

File details

Details for the file aq_geometric-2024.8.18.1.tar.gz.

File metadata

  • Download URL: aq_geometric-2024.8.18.1.tar.gz
  • Upload date:
  • Size: 67.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for aq_geometric-2024.8.18.1.tar.gz
Algorithm Hash digest
SHA256 81b4265094bf5c1fa2180dfcdea56a61ee05bbfac2c7a152769d12326892e005
MD5 e13d98b41eae84e83e2a677d88e254cc
BLAKE2b-256 9a664e1dbb5e4d696f4b9d81e7e650dbf0462c469ef14bc9915b261f50a7c46a

See more details on using hashes here.

File details

Details for the file aq_geometric-2024.8.18.1-py3-none-any.whl.

File metadata

File hashes

Hashes for aq_geometric-2024.8.18.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8f3de4473c7b9069ad6aa60a2957a976bdc5c3a5df4d4cc89a263527256670da
MD5 a45f7fb2660ba3aacd104350359490cf
BLAKE2b-256 393e99e0e277fc459f032bdb1fae16655e29edf8934f60274c1665e499fc809b

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