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 0.7.62b20250920

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 0.7.62b20250920
File Size Uploaded Provenance Actions
tmnt-0.7.62b20250920.tar.gz 57.0 kB Without provenance Details for tmnt-0.7.62b20250920.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.62b20250920
File Interpreter ABI Platform Actions
tmnt-0.7.62b20250920-py3-none-any.whl Python 3 none any Details for tmnt-0.7.62b20250920-py3-none-any.whl

Total release size: 121.0 kB

Release files / tmnt-0.7.62b20250920.tar.gz

Download URL tmnt-0.7.62b20250920.tar.gz
Size 57.0 kB
Tags Source
SHA-256 checksum
How to use checksums
6ba19213598984b4a4fd0370f16f5d8705e54a9876361e64b27aee6e872ddcf7
BLAKE2b-256 checksum
How to use checksums
0ef882bfb590fed9cd021dcfc29143c1c805e0c7dd77c8bd6cb3c3f92f1a63b9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.7

Release files / tmnt-0.7.62b20250920-py3-none-any.whl

Download URL tmnt-0.7.62b20250920-py3-none-any.whl
Size 64.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b2d1d7a0fd1ebd183ba9be9337cc56d9089c79d9aefc7a923051553704219230
BLAKE2b-256 checksum
How to use checksums
5acbe437c0a0ff20c3a731af33d869680dbba8aa3c7955c11776e8ddd0207cfb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.7

Security for tmnt 0.7.62b20250920

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