DeepCell 0.11.1-foss-2021b-CUDA-11.4.1deepcell-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, BEAR Cloud VMs, and CaStLeS VMs):
module load bear-apps/2021b
module load DeepCell/0.11.1-foss-2021b-CUDA-11.4.1
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR 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.
- BEAR Cloud and CaStLeS VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- DeepCell 0.11.1
- pydot 1.4.2
- typeguard 2.13.3
For more information visit the DeepCell website.
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