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: 0.7.61

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 0.7.61b20250522

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 0.7.61b20250522
File Size Uploaded Provenance Actions
tmnt-0.7.61b20250522.tar.gz 57.1 kB Without provenance Details for tmnt-0.7.61b20250522.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.61b20250522
File Interpreter ABI Platform Actions
tmnt-0.7.61b20250522-py3-none-any.whl Python 3 none any Details for tmnt-0.7.61b20250522-py3-none-any.whl

Total release size: 121.2 kB

Release files / tmnt-0.7.61b20250522.tar.gz

Download URL tmnt-0.7.61b20250522.tar.gz
Size 57.1 kB
Tags Source
SHA-256 checksum
How to use checksums
882f26a72e41dfc7310e471c9e00926920438f7d51e80d0123427edaf5dd670f
BLAKE2b-256 checksum
How to use checksums
bc900f2bd031306b78d53c20b2a65ec44746352229b6f3b057bdf3fcd6cfc7dd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Release files / tmnt-0.7.61b20250522-py3-none-any.whl

Download URL tmnt-0.7.61b20250522-py3-none-any.whl
Size 64.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
abd9aa97bcf16978159abc06ba97bbed47820d83f80f349df71dbe2c83d39309
BLAKE2b-256 checksum
How to use checksums
18db21d21820c367b1ed1aa992f372c1651117f88470bc5b0d93c1613cf766c1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Security for tmnt 0.7.61b20250522

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