scvi-tools (single-cell variational inference tools) [Gayoso22] is a package for end-to-end analysis of single-cell omics data primarily developed and maintained by the Yosef Lab at UC Berkeley.
scvi-tools has two components
Interface for easy use of a range of probabilistic models for single-cell omics (e.g., scVI, scANVI, totalVI).
Tools to build new probabilistic models, which are powered by PyTorch, PyTorch Lightning, and Pyro.
If you find a model useful for your research, please consider citing the scvi-tools manuscript as well as the corresponding publication, which can be found in the corresponding model documentation.
The user guide provides distilled mathematical descriptions of the models implemented in scvi-tools and connects the math with the code.
The tutorials walk you through real-world applications of scvi-tools models. Developer tutorials help you build new probabilistic models.
Find a bug? Interested in improving scvi-tools? Checkout our GitHub for the latest developments.