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.
This repository contains the source files for our Docker images.
py{PYTHON_VERSION}-cu{CUDA_VERSION}-base: CUDA-based PyTorch and JAX installations
- Updated weekly Sunday at 05:00 PST
- We currently build images for
PYTHON_VERSION=[3.9, 3.10, 3.11]andCUDA_VERSION=[11, 12]
py{PYTHON_VERSION}-cu{CUDA_VERSION}-runtime-{latest/stable/semver}: base image with runtime
dependencies
latest: Updated daily at 12:00 PSTstable: Alias for the most recentsemversemver: Updated with each new stable release on the main repository
py{PYTHON_VERSION}-cu{CUDA_VERSION}-dev-{latest/stable/semver}: base image with development
dependencies
latest: Updated daily at 12:00 PSTstable: Alias for the most recentsemversemver: Updated with each new stable release on the main repository
py{PYTHON_VERSION}-cu{CUDA_VERSION}-tutorials-{latest/stable/semver}: base image with tutorial
dependencies
latest: Updated daily at 12:00 PSTstable: Alias for the most recentsemversemver: Updated with each new stable release on the main repository
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