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 0.7.62b20250728

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 0.7.62b20250728
File Size Uploaded Provenance Actions
tmnt-0.7.62b20250728.tar.gz 57.0 kB Without provenance Details for tmnt-0.7.62b20250728.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.62b20250728
File Interpreter ABI Platform Actions
tmnt-0.7.62b20250728-py3-none-any.whl Python 3 none any Details for tmnt-0.7.62b20250728-py3-none-any.whl

Total release size: 121.0 kB

Release files / tmnt-0.7.62b20250728.tar.gz

Download URL tmnt-0.7.62b20250728.tar.gz
Size 57.0 kB
Tags Source
SHA-256 checksum
How to use checksums
ed9089b585f674a770bddfcc75efee81de5e78d7f7c880f6fd1877d9c001aa51
BLAKE2b-256 checksum
How to use checksums
bd433e5a1c48a4c26592fa944b21744faffdaee320dc8baafe422fd8dea9e41f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.5

Release files / tmnt-0.7.62b20250728-py3-none-any.whl

Download URL tmnt-0.7.62b20250728-py3-none-any.whl
Size 64.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ea7ddc849cfd753dee498a903e8079b6d48bebd0827813bf419fb07dec952730
BLAKE2b-256 checksum
How to use checksums
08d34d462deb7633d65691a7fce6c0ffd6945631dc6c8fe3379e493e330c82c6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.5

Security for tmnt 0.7.62b20250728

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