A library for learning Gaussian mixture models for variational inference

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for OlegArenz from gravatar.com OlegArenz

Unverified details

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT

Author: Oleg Arenz

Tags variational inference, machine learning

Requires: Python >=3.7

Classifiers

Project description

A framework for optimizing Gaussian mixture models for variational inference. Please refer to the online documentation for details.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for OlegArenz from gravatar.com OlegArenz

Unverified details

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT

Author: Oleg Arenz

Tags variational inference, machine learning

Requires: Python >=3.7

Classifiers

Release history Release notifications | RSS feed

This version

1.1

1.0

1.0rc2 pre-release

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gmmvi-1.1.tar.gz (1.1 MB view hashes)

Uploaded Source

Built Distribution

gmmvi-1.1-py3-none-any.whl (1.1 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page