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: 0.7.46

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 0.7.52b20240607

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 0.7.52b20240607
File Size Uploaded Provenance Actions
tmnt-0.7.52b20240607.tar.gz 50.8 kB Without provenance Details for tmnt-0.7.52b20240607.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.52b20240607
File Interpreter ABI Platform Actions
tmnt-0.7.52b20240607-py3-none-any.whl Python 3 none any Details for tmnt-0.7.52b20240607-py3-none-any.whl

Total release size: 106.9 kB

Release files / tmnt-0.7.52b20240607.tar.gz

Download URL tmnt-0.7.52b20240607.tar.gz
Size 50.8 kB
Tags Source
SHA-256 checksum
How to use checksums
5a9226859de82a4c38c000a025965837b844912da5b3c7181a5a067905744b86
BLAKE2b-256 checksum
How to use checksums
6a73a45af11efa5ce0e6ee3180d684cf26e2118932ac1dd0f6827a542e3af5b8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.0 CPython/3.12.3

Release files / tmnt-0.7.52b20240607-py3-none-any.whl

Download URL tmnt-0.7.52b20240607-py3-none-any.whl
Size 56.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ea56a0acef0c4c6c94784c3f2d66afc21152d48f5cf31b590b2f943e57b0dfda
BLAKE2b-256 checksum
How to use checksums
7860bd70fae68b1ca183421fb90b68e5c8ede42be7e7d26d25c7c233001b6dba
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.0 CPython/3.12.3

Security for tmnt 0.7.52b20240607

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