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 0.7.61b20250607

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 0.7.61b20250607
File Size Uploaded Provenance Actions
tmnt-0.7.61b20250607.tar.gz 57.1 kB Without provenance Details for tmnt-0.7.61b20250607.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.61b20250607
File Interpreter ABI Platform Actions
tmnt-0.7.61b20250607-py3-none-any.whl Python 3 none any Details for tmnt-0.7.61b20250607-py3-none-any.whl

Total release size: 121.2 kB

Release files / tmnt-0.7.61b20250607.tar.gz

Download URL tmnt-0.7.61b20250607.tar.gz
Size 57.1 kB
Tags Source
SHA-256 checksum
How to use checksums
c993e59eda0933b62cdc0af5b3026317d932374d6c4cc7b2b3747b930ea37472
BLAKE2b-256 checksum
How to use checksums
67a2c20d107f1dfbae5c26c8a373773bcc52b1c81fd63b5c723917ed836a19c4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Release files / tmnt-0.7.61b20250607-py3-none-any.whl

Download URL tmnt-0.7.61b20250607-py3-none-any.whl
Size 64.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
95b67b3be61989acbb14fced69dabd9d507756f40ba62aea4f0e0f329002de62
BLAKE2b-256 checksum
How to use checksums
ee5ecfcd84b7c30fd62a6568d28081751c306cec7bf3bd66a801bfc256f28d1e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Security for tmnt 0.7.61b20250607

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