Skip to main content

Graph Neural Networks with JAX/NNX

Project description

JraphX: Graph Neural Networks with NNX

Visit the docs!

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

jraphx-0.0.3.tar.gz (47.4 kB view details)

Uploaded Source

Built Distribution

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

jraphx-0.0.3-py3-none-any.whl (67.1 kB view details)

Uploaded Python 3

File details

Details for the file jraphx-0.0.3.tar.gz.

File metadata

  • Download URL: jraphx-0.0.3.tar.gz
  • Upload date:
  • Size: 47.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for jraphx-0.0.3.tar.gz
Algorithm Hash digest
SHA256 b8ef10aba9a247f2c97e5334d80e1573aee0d5c2c608dea3bbd227433f316325
MD5 dca48a3c6dd8d7980d0c5766f8daebc0
BLAKE2b-256 ff580fe55e7701b2cdf3dcdc8288a68b1b2f46e9357bbca74d8eaa06e4f56a39

See more details on using hashes here.

File details

Details for the file jraphx-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: jraphx-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 67.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for jraphx-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 4942da222c49c21aa77783fa5fdf9b2508f61d075516e286f5bfea77bc10e908
MD5 af5b68756d3009cffe13c1ce509aeeb5
BLAKE2b-256 d7408c51d089660826188a905b68eea300432d0c302e01acd30d76045cb4d3c2

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