Skip to main content

Virtual brains w/ JAX

Project description

vbjax

vbjax is a Jax-based package for working with virtual brain style models.

Installs with pip install vbjax, or manually install dependencies with pip install numpy scipy jax jaxlib or conda install -y numpy scipy jax.

Examples

Development

git clone https://github.com/ins-amu/vbjax
cd vbjax
pip install '.[dev]'
pytest

Releases

a release of version v1.2.3 requires following steps

  • git checkout main tag releases from main for now
  • edit _version.py to have correct release number
  • git tag v1.2.3 creates tag from branch
  • git push origin v1.2.3 pushes git tag to github
  • use GitHub UI to create new release
  • pip install '.[dev]' ensures twine & build tools available
  • python -m build builds wheels & source dists
  • twine upload dist/* uploads to PyPI

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

vbjax-0.0.6.tar.gz (15.0 kB view details)

Uploaded Source

Built Distribution

vbjax-0.0.6-py2.py3-none-any.whl (20.7 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file vbjax-0.0.6.tar.gz.

File metadata

  • Download URL: vbjax-0.0.6.tar.gz
  • Upload date:
  • Size: 15.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for vbjax-0.0.6.tar.gz
Algorithm Hash digest
SHA256 d2450458a15f456a9b9962106b68a330a27d05a0cb052ca7e528f2e1b9143be6
MD5 25506e8e2d996fc38f0f390250e77467
BLAKE2b-256 a8da5814c0dc45c1db08c36d970eb02638479212b0b05753b2203a304c78452d

See more details on using hashes here.

File details

Details for the file vbjax-0.0.6-py2.py3-none-any.whl.

File metadata

  • Download URL: vbjax-0.0.6-py2.py3-none-any.whl
  • Upload date:
  • Size: 20.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for vbjax-0.0.6-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7985fdb1e6a67e1dbd6f2c9e2077202a3fb1440b9561b22ee0e957d91914998f
MD5 efe816af6f92947c7f53d0307feea15f
BLAKE2b-256 ba8e1e5d229c798d6878b34f95c312bd5590da4c4427da9c8564a26cda491e19

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