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 0.7.62b20250722

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 0.7.62b20250722
File Size Uploaded Provenance Actions
tmnt-0.7.62b20250722.tar.gz 57.0 kB Without provenance Details for tmnt-0.7.62b20250722.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.62b20250722
File Interpreter ABI Platform Actions
tmnt-0.7.62b20250722-py3-none-any.whl Python 3 none any Details for tmnt-0.7.62b20250722-py3-none-any.whl

Total release size: 121.0 kB

Release files / tmnt-0.7.62b20250722.tar.gz

Download URL tmnt-0.7.62b20250722.tar.gz
Size 57.0 kB
Tags Source
SHA-256 checksum
How to use checksums
a52f2f6e18c68622a4a1bff90eaee86b08bd19d0b17796af9543479e74e94990
BLAKE2b-256 checksum
How to use checksums
c2c3849663f4eb0291572027b02341616eaf0787dd7aca0397c2979bb8e92fd5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.5

Release files / tmnt-0.7.62b20250722-py3-none-any.whl

Download URL tmnt-0.7.62b20250722-py3-none-any.whl
Size 64.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d39a1c0e0918b13da32c54e2175b1db56d1705c155cc78b4056ee6a4db65e3da
BLAKE2b-256 checksum
How to use checksums
e3bcbe65ec29832d194365081caf69500d7c942011361afa8c72264c02dc0ed9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.5

Security for tmnt 0.7.62b20250722

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