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: 0.7.54

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 0.7.54b20240720

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 0.7.54b20240720
File Size Uploaded Provenance Actions
tmnt-0.7.54b20240720.tar.gz 50.2 kB Without provenance Details for tmnt-0.7.54b20240720.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.54b20240720
File Interpreter ABI Platform Actions
tmnt-0.7.54b20240720-py3-none-any.whl Python 3 none any Details for tmnt-0.7.54b20240720-py3-none-any.whl

Total release size: 105.7 kB

Release files / tmnt-0.7.54b20240720.tar.gz

Download URL tmnt-0.7.54b20240720.tar.gz
Size 50.2 kB
Tags Source
SHA-256 checksum
How to use checksums
5d9654e814a904eda115708c4116cdf71df08f1d2809e434c8c54b7b26365292
BLAKE2b-256 checksum
How to use checksums
1a6fe9889703a4572af8533805d769d33cb4c4fec80f793861255d1c895689a7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.4

Release files / tmnt-0.7.54b20240720-py3-none-any.whl

Download URL tmnt-0.7.54b20240720-py3-none-any.whl
Size 55.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
07760cce9c896010527e7c44640f0b5bfb4e0c35dc5afe93140f8754dace7b1e
BLAKE2b-256 checksum
How to use checksums
76c4d7eb1564ba07c288908f11bd5ac2bf6088358857581d740e87c186026ef6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.4

Security for tmnt 0.7.54b20240720

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