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: 0.7.04

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 0.7.4b20231227

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 0.7.4b20231227
File Size Uploaded Provenance Actions
tmnt-0.7.4b20231227.tar.gz 79.3 kB Without provenance Details for tmnt-0.7.4b20231227.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.4b20231227
File Interpreter ABI Platform Actions
tmnt-0.7.4b20231227-py3-none-any.whl Python 3 none any Details for tmnt-0.7.4b20231227-py3-none-any.whl

Total release size: 168.9 kB

Release files / tmnt-0.7.4b20231227.tar.gz

Download URL tmnt-0.7.4b20231227.tar.gz
Size 79.3 kB
Tags Source
SHA-256 checksum
How to use checksums
5c5ab94f31b9ede1093aaae1f8b6f5af6ce5f8d8bff09649bf59923ef64c9c09
BLAKE2b-256 checksum
How to use checksums
ea3a0cd54af36ea52550ab5b0361342ea6cbae9843227af8a4fe56d32695a1f3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.12.1

Release files / tmnt-0.7.4b20231227-py3-none-any.whl

Download URL tmnt-0.7.4b20231227-py3-none-any.whl
Size 89.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ec32e6ad0c9303012f638e5fe90d66898d7690e3e14d0d4d4aebd98171e2e553
BLAKE2b-256 checksum
How to use checksums
1e8468e7bf658bf134c15ff63d022780b7a45a9f5c5a6d826487b30d60cf1bc3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.12.1

Security for tmnt 0.7.4b20231227

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