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 0.7.61b20250523

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 0.7.61b20250523
File Size Uploaded Provenance Actions
tmnt-0.7.61b20250523.tar.gz 57.1 kB Without provenance Details for tmnt-0.7.61b20250523.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.61b20250523
File Interpreter ABI Platform Actions
tmnt-0.7.61b20250523-py3-none-any.whl Python 3 none any Details for tmnt-0.7.61b20250523-py3-none-any.whl

Total release size: 121.2 kB

Release files / tmnt-0.7.61b20250523.tar.gz

Download URL tmnt-0.7.61b20250523.tar.gz
Size 57.1 kB
Tags Source
SHA-256 checksum
How to use checksums
031e9ff9ac7c8ff5a3b4567866c98824a30f0ea3e69d2563ee52ba2866dd6de5
BLAKE2b-256 checksum
How to use checksums
a04687e3cdad0baeb814a1321537062dc1388ff018d9996b5e8b478ca3f68fdc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Release files / tmnt-0.7.61b20250523-py3-none-any.whl

Download URL tmnt-0.7.61b20250523-py3-none-any.whl
Size 64.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
81359da38c625ba9e7268187ddf75eba4e9bf70701de802088263ba7d1f42b75
BLAKE2b-256 checksum
How to use checksums
6982f454526b9d99550dcd0870de631dba0ae5f858eac8f2b2dbf6e91ed8d031
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.3

Security for tmnt 0.7.61b20250523

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