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 0.7.61b20250620

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 0.7.61b20250620
File Size Uploaded Provenance Actions
tmnt-0.7.61b20250620.tar.gz 57.1 kB Without provenance Details for tmnt-0.7.61b20250620.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.61b20250620
File Interpreter ABI Platform Actions
tmnt-0.7.61b20250620-py3-none-any.whl Python 3 none any Details for tmnt-0.7.61b20250620-py3-none-any.whl

Total release size: 121.2 kB

Release files / tmnt-0.7.61b20250620.tar.gz

Download URL tmnt-0.7.61b20250620.tar.gz
Size 57.1 kB
Tags Source
SHA-256 checksum
How to use checksums
7e2d2bd7807d32a9ecb5d656cf03a0a3693382d42f2e7af3edc71fd8f221df71
BLAKE2b-256 checksum
How to use checksums
35883f1041ae529820644c65b258471e95657a61c77178ec66b40c75f773ba73
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Release files / tmnt-0.7.61b20250620-py3-none-any.whl

Download URL tmnt-0.7.61b20250620-py3-none-any.whl
Size 64.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9138b6db45fa531bb4350b41723293bd12f64e289243ba6443ea11ac6f962e31
BLAKE2b-256 checksum
How to use checksums
976b8443085658dc72dc25f2d485493fe1fc7a0357d7d2fbc81f9334cd4de223
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Security for tmnt 0.7.61b20250620

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