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 0.7.61b20250429

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 0.7.61b20250429
File Size Uploaded Provenance Actions
tmnt-0.7.61b20250429.tar.gz 57.1 kB Without provenance Details for tmnt-0.7.61b20250429.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.61b20250429
File Interpreter ABI Platform Actions
tmnt-0.7.61b20250429-py3-none-any.whl Python 3 none any Details for tmnt-0.7.61b20250429-py3-none-any.whl

Total release size: 121.1 kB

Release files / tmnt-0.7.61b20250429.tar.gz

Download URL tmnt-0.7.61b20250429.tar.gz
Size 57.1 kB
Tags Source
SHA-256 checksum
How to use checksums
a2d6df298cef651958bff9b8ab4313707a7e71967748a6f77b3228d024e99299
BLAKE2b-256 checksum
How to use checksums
2fb6e8ddeb17ed5fe1cca79a95dfbcebcc9e5e6d27ea9cbff8c4c1fe7505bd40
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Release files / tmnt-0.7.61b20250429-py3-none-any.whl

Download URL tmnt-0.7.61b20250429-py3-none-any.whl
Size 64.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
26b408444a0f155bd8a94caa67f33c9b3bcc421d54abf9ddb0fee7416c419cf3
BLAKE2b-256 checksum
How to use checksums
966a11531bf2632047581c2f62ab11782d102c1742b5c70a68703e9ff52a2366
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Security for tmnt 0.7.61b20250429

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