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 0.7.61b20250618

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 0.7.61b20250618
File Size Uploaded Provenance Actions
tmnt-0.7.61b20250618.tar.gz 57.1 kB Without provenance Details for tmnt-0.7.61b20250618.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.61b20250618
File Interpreter ABI Platform Actions
tmnt-0.7.61b20250618-py3-none-any.whl Python 3 none any Details for tmnt-0.7.61b20250618-py3-none-any.whl

Total release size: 121.1 kB

Release files / tmnt-0.7.61b20250618.tar.gz

Download URL tmnt-0.7.61b20250618.tar.gz
Size 57.1 kB
Tags Source
SHA-256 checksum
How to use checksums
93e94843f1c015fd9a2607bb3815591ea7c567e334daed85896027a582cdf7da
BLAKE2b-256 checksum
How to use checksums
eaf4b9de1011303ed4bba5af6b85a7ad062c05778d2853072e4c9d7ccc48eee1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Release files / tmnt-0.7.61b20250618-py3-none-any.whl

Download URL tmnt-0.7.61b20250618-py3-none-any.whl
Size 64.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
794c0f386061404b643b70e3933fe4b5f85633c7e21a5d5af62f2d0d5c150b7e
BLAKE2b-256 checksum
How to use checksums
e943cf025360067c3502a61ad20b220aa015746884b35e082ec3a841df0bcc6b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Security for tmnt 0.7.61b20250618

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