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 0.7.61b20250624

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 0.7.61b20250624
File Size Uploaded Provenance Actions
tmnt-0.7.61b20250624.tar.gz 57.1 kB Without provenance Details for tmnt-0.7.61b20250624.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.61b20250624
File Interpreter ABI Platform Actions
tmnt-0.7.61b20250624-py3-none-any.whl Python 3 none any Details for tmnt-0.7.61b20250624-py3-none-any.whl

Total release size: 121.2 kB

Release files / tmnt-0.7.61b20250624.tar.gz

Download URL tmnt-0.7.61b20250624.tar.gz
Size 57.1 kB
Tags Source
SHA-256 checksum
How to use checksums
1e0924efac451dcbcf024f808a21dfb323d8999239794e5fe7fbe5ec5cfccd77
BLAKE2b-256 checksum
How to use checksums
1f7646dff35be1438308038b5d0ea10ee317d46cb50da8cfbd8d6a136e390e28
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Release files / tmnt-0.7.61b20250624-py3-none-any.whl

Download URL tmnt-0.7.61b20250624-py3-none-any.whl
Size 64.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
54d367bf00827d6e063ea8a31983ddad84e6055856d759a116a3f07b743a89c3
BLAKE2b-256 checksum
How to use checksums
d41d7c7aa7f5115f753acdc2eac0f7c0966d2c0756392eef4d9a8fe2a6b475de
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Security for tmnt 0.7.61b20250624

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