topaz 0.2.5-foss-2021a-CUDA-11.3.1

There is a newer install of topaz

A pipeline for particle detection in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Topaz also includes methods for micrograph denoising using deep de- noising models.

Accessing topaz 0.2.5-foss-2021a-CUDA-11.3.1

To load the module for topaz 0.2.5-foss-2021a-CUDA-11.3.1 please use this command on Baskerville:

📋 module load bask-apps/live module load topaz/0.2.5-foss-2021a-CUDA-11.3.1

Bask Apps Env

live

Extensions

topaz-em-0.2.5

More Information

For more information visit the topaz website.

Dependencies

This version of topaz has a direct dependency on: CUDA/11.3.1 foss/2021a Python/3.9.5-GCCcore-10.3.0 PyTorch/1.10.0-foss-2021a-CUDA-11.3.1 scikit-learn/0.24.2-foss-2021a torchvision/0.11.1-foss-2021a-CUDA-11.3.1

Other Versions

These versions of topaz are available on Baskerville. These will be retained in accordance with our Applications Support and Retention Policy.

Version	Bask Apps Env
0.2.5.20231120-foss-2023a-CUDA-12.1.1	live

Last modified on 12th June 2024