Skip to main content

This is a Python package which helps you handle GNN especially for physics problems.

Project description

Phlower

Phlower is a deep learning framework based on PyTorch especially for physical phenomenon such as fluid dynamics.

For more details, please refer to user manual below.

Key Features

Tutorials are prepared for key features !

  1. Extended Tensor object which enables you to handle physics dimention
  2. Model definition by yaml file
  3. High Level API for scaling, training and predicion

Installation

Phlower is registered at PyPI. You can install phlower using pip. Python 3.10 or newer is supported.

pip install phlower

License

This project is licensed under the Apache License 2.0

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

phlower-0.3.0-py3-none-any.whl (218.3 kB view details)

Uploaded Python 3

File details

Details for the file phlower-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: phlower-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 218.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.11.14 Linux/5.15.0-153-generic

File hashes

Hashes for phlower-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6663b2c87de25326a260acbf006bbc1fa0a9c23335c5a3d6afdf74699be5664e
MD5 7176f7faeb29bfd25f426df400fdcb3d
BLAKE2b-256 ca71eb22b848f408d6ec838e5567450d7977df7952da658f69f013c5beb53bae

See more details on using hashes here.

Supported by

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