| Name | gmmvi JSON |
| Version |
1.1
JSON |
| download |
| home_page | |
| Summary | A library for learning Gaussian mixture models for variational inference |
| upload_time | 2023-07-14 09:09:12 |
| maintainer | |
| docs_url | None |
| author | Oleg Arenz |
| requires_python | >=3.7 |
| license | MIT |
| keywords |
variational inference
machine learning
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
GMMVI: Gaussian Mixture Model Variational Inference
===================================================
A framework for optimizing Gaussian mixture models for variational inference.
Please refer to the `online documentation <https://gmmvi.rtfd.io>`_ for details.
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