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-2024.7.29.6.tar.gz (59.3 kB view details)

Uploaded Source

Built Distribution

aq_geometric-2024.7.29.6-py3-none-any.whl (103.8 kB view details)

Uploaded Python 3

File details

Details for the file aq_geometric-2024.7.29.6.tar.gz.

File metadata

  • Download URL: aq_geometric-2024.7.29.6.tar.gz
  • Upload date:
  • Size: 59.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aq_geometric-2024.7.29.6.tar.gz
Algorithm Hash digest
SHA256 cdc89d9884ea6d174b7803d78004460216b2f5247fcb1c710a7293c7afcafbbf
MD5 7f9a0873376139f3c0c48c462749acdf
BLAKE2b-256 7a5786717a0096b22661796444b809f48669ffff3a7853899dd168fda11ee587

See more details on using hashes here.

File details

Details for the file aq_geometric-2024.7.29.6-py3-none-any.whl.

File metadata

File hashes

Hashes for aq_geometric-2024.7.29.6-py3-none-any.whl
Algorithm Hash digest
SHA256 136cf96333e418c6a8897d12495a29fc634b2f9e06bad2ddf4792a2d18b02c77
MD5 cfadb1a3d51bec10977f038033aec89e
BLAKE2b-256 64a8b6117ec676d59559907eaa27adfedf0c7014e68e28699dd30882880e955c

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