Nilearn 0.10.3-gfbf-2023a

There is a newer install of Nilearn

Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data.

Accessing Nilearn 0.10.3-gfbf-2023a

To load the module for Nilearn 0.10.3-gfbf-2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a
module load Nilearn/0.10.3-gfbf-2023a

BEAR Apps Version

2023a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

• nilearn 0.10.3

More Information

For more information visit the Nilearn website.

Dependencies

This version of Nilearn has a direct dependency on: gfbf/2023a lxml/4.9.2-GCCcore-12.3.0 NiBabel/5.2.0-gfbf-2023a Python/3.11.3-GCCcore-12.3.0 scikit-learn/1.3.1-gfbf-2023a SciPy-bundle/2023.07-gfbf-2023a

Required By

This version of Nilearn is a direct dependent of: MNE-Python/1.7.1-foss-2023a

Other Versions

These versions of Nilearn are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 22nd July 2024