Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

The Topic Modeling Neural Toolkit (TMNT) is a software library that enables training topic models as neural network-based variational auto-encoders.

Current stable version is: 0.7.46

Documentation can be found here: https://tmnt.readthedocs.io/en/stable/

The latest development version documentation is here: https://tmnt.readthedocs.io/en/latest

Metadata

Release files for tmnt 0.7.51b20240412

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tmnt 0.7.51b20240412
File Size Uploaded Provenance Actions
tmnt-0.7.51b20240412.tar.gz 52.5 kB Without provenance Details for tmnt-0.7.51b20240412.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.51b20240412
File Interpreter ABI Platform Actions
tmnt-0.7.51b20240412-py3-none-any.whl Python 3 none any Details for tmnt-0.7.51b20240412-py3-none-any.whl

Total release size: 110.2 kB

Release files / tmnt-0.7.51b20240412.tar.gz

Download URL tmnt-0.7.51b20240412.tar.gz
Size 52.5 kB
Tags Source
SHA-256 checksum
How to use checksums
531bbf54c8094a919856820db7a775e4bd5ffc7311910bdba85514be754187c1
BLAKE2b-256 checksum
How to use checksums
4a64868eeb6a42ed1f7dc3d113a36c8930b7525af3901cbef525c39ca2f2d374
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Release files / tmnt-0.7.51b20240412-py3-none-any.whl

Download URL tmnt-0.7.51b20240412-py3-none-any.whl
Size 57.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
278b17bb28f9b0ccc5a89b3bbfb971a0f4f9a7b2d5008ce539082d4cad6a6d70
BLAKE2b-256 checksum
How to use checksums
076c3d76e26cd67e1eaebac91ab6af0ff0f979b91a62a5edf14b60dcc8538706
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Security for tmnt 0.7.51b20240412

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page