BEAR Applications

scvi-tools 0.20.1-foss-2022a-CUDA-11.7.0

Unsupported: Use of this version of scvi-tools is not supported. More information on our Applications Support and Retention Policy.

scvi-tools (single-cell variational inference tools) is a package for probabilistic modeling and analysis of single-cell omics data, built on top of PyTorch and AnnData.

Accessing scvi-tools 0.20.1-foss-2022a-CUDA-11.7.0

To load the module for scvi-tools 0.20.1-foss-2022a-CUDA-11.7.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load bear-apps-unsupported/handbuilt/2019
module load scvi-tools/0.20.1-foss-2022a-CUDA-11.7.0

There is a CPU version of this module: scvi-tools 0.20.1-foss-2022a

BEAR Apps Version

2019h

Extensions

• cached-property-1.5.2
• chex 0.1.6
• contextlib2 21.6.0
• docrep 0.3.2
• flax 0.6.4
• ml_collections 0.1.1
• mudata 0.2.1
• multipledispatch 0.6.0
• numpyro 0.11.0
• optax 0.1.4
• orbax 0.1.2
• pyro-api-0.1.2
• pyro-ppl-1.8.4
• scvi_tools 0.20.1
• tensorstore 0.1.32
• toolz 0.12.0

More Information

For more information visit the scvi-tools website.

Dependencies

This version of scvi-tools has a direct dependency on: CUDA/11.7.0 dm-tree/0.1.8-GCCcore-11.3.0 foss/2022a h5py/3.7.0-foss-2022a IPython/8.5.0-GCCcore-11.3.0 jax/0.4.4-foss-2022a-CUDA-11.7.0 matplotlib/3.5.2-foss-2022a openpyxl/3.0.10-GCCcore-11.3.0 poetry/1.2.2-GCCcore-11.3.0 Python/3.10.4-GCCcore-11.3.0 PyTorch-Lightning/1.9.3-foss-2022a-CUDA-11.7.0 scanpy/1.9.1-foss-2022a scikit-learn/1.1.2-foss-2022a scikit-misc/0.1.4-foss-2022a SciPy-bundle/2022.05-foss-2022a

Required By

This version of scvi-tools is a direct dependent of: cell2location/0.1.3-foss-2022a-CUDA-11.7.0

Other Versions

These versions of scvi-tools are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 28th February 2023