DeepCell 0.11.1-foss-2021b-CUDA-11.4.1

deepcell-tf is a deep learning library for single-cell analysis of biological images.This library allows users to apply pre-existing models to imaging data as well as to develop new deep learning models for single-cell analysis.

Accessing DeepCell 0.11.1-foss-2021b-CUDA-11.4.1

To load the module for DeepCell 0.11.1-foss-2021b-CUDA-11.4.1 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2021b
module load DeepCell/0.11.1-foss-2021b-CUDA-11.4.1

BEAR Apps Version

2021b

Architectures

EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30) — 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

• DeepCell 0.11.1
• DeepCell-Toolbox-0.11.2
• DeepCell-Tracking-0.5.7
• pydot 1.4.2
• tensorflow-addons-0.17.0
• typeguard 2.13.3

More Information

For more information visit the DeepCell website.

Dependencies

This version of DeepCell has a direct dependency on: CUDA/11.4.1 foss/2021b Graphviz/2.50.0-GCCcore-11.2.0 IPython/7.26.0-GCCcore-11.2.0 matplotlib/3.4.3-foss-2021b OpenCV/4.5.5-foss-2021b-contrib Python/3.9.6-GCCcore-11.2.0 scikit-image/0.19.1-foss-2021b scikit-learn/1.0.1-foss-2021b spektral/1.1.0-foss-2021b-CUDA-11.4.1 TensorFlow/2.7.1-foss-2021b-CUDA-11.4.1 tqdm/4.62.3-GCCcore-11.2.0

Last modified on 17th March 2023