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 0.7.62b20250719

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 0.7.62b20250719
File Size Uploaded Provenance Actions
tmnt-0.7.62b20250719.tar.gz 57.0 kB Without provenance Details for tmnt-0.7.62b20250719.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.62b20250719
File Interpreter ABI Platform Actions
tmnt-0.7.62b20250719-py3-none-any.whl Python 3 none any Details for tmnt-0.7.62b20250719-py3-none-any.whl

Total release size: 121.0 kB

Release files / tmnt-0.7.62b20250719.tar.gz

Download URL tmnt-0.7.62b20250719.tar.gz
Size 57.0 kB
Tags Source
SHA-256 checksum
How to use checksums
e1337b81b7c74af0d7390361778a9d2d2be0d387a452e7577587667c989c2f24
BLAKE2b-256 checksum
How to use checksums
f0efc1a99f5127ab5108f5a8cca2f95858110951e48d12db5c9d6b6d1d846e81
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.5

Release files / tmnt-0.7.62b20250719-py3-none-any.whl

Download URL tmnt-0.7.62b20250719-py3-none-any.whl
Size 64.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e66297f243a47e38e8d6bf1bffd0adf0d5da1afac7cbd75d667dc8049e45b307
BLAKE2b-256 checksum
How to use checksums
d06a3b155ad54e1712d00950f23f555e1b61a5899b962ea2c8cd3bd410053117
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.5

Security for tmnt 0.7.62b20250719

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