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-2024.8.6.1.tar.gz (64.9 kB view details)

Uploaded Source

Built Distribution

aq_geometric-2024.8.6.1-py3-none-any.whl (112.9 kB view details)

Uploaded Python 3

File details

Details for the file aq_geometric-2024.8.6.1.tar.gz.

File metadata

  • Download URL: aq_geometric-2024.8.6.1.tar.gz
  • Upload date:
  • Size: 64.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for aq_geometric-2024.8.6.1.tar.gz
Algorithm Hash digest
SHA256 851e9dc16011409b4d7d0942116ad4727a3d13eb68613c7ef2f3f94a2c50563f
MD5 33cb45752d94f3924dc7ac11b8446bb7
BLAKE2b-256 168f50b072d4930dacc26a60d902d969f020af0c417fa28899549a48268bd311

See more details on using hashes here.

File details

Details for the file aq_geometric-2024.8.6.1-py3-none-any.whl.

File metadata

File hashes

Hashes for aq_geometric-2024.8.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 19df40b6b4c106195bd352b68dded62b33e84f04af604097a37f2e01af9e1f7a
MD5 e8c86a4a1b2838fadb27558410785f75
BLAKE2b-256 9fdcf8b3c63b7e7f7cf954d2d490ad00d1684982f1a3ebce9395966455146844

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