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 0.7.62b20250927

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 0.7.62b20250927
File Size Uploaded Provenance Actions
tmnt-0.7.62b20250927.tar.gz 57.0 kB Without provenance Details for tmnt-0.7.62b20250927.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.62b20250927
File Interpreter ABI Platform Actions
tmnt-0.7.62b20250927-py3-none-any.whl Python 3 none any Details for tmnt-0.7.62b20250927-py3-none-any.whl

Total release size: 121.0 kB

Release files / tmnt-0.7.62b20250927.tar.gz

Download URL tmnt-0.7.62b20250927.tar.gz
Size 57.0 kB
Tags Source
SHA-256 checksum
How to use checksums
3e4b0a3de426216a5d9f294da620bdcb5da29cfa833ed217be17a2a26a06c760
BLAKE2b-256 checksum
How to use checksums
c9340da7df13dda5b1a9a0d0eb5014959ed4164aef4db953edcf638ad1f93a13
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.7

Release files / tmnt-0.7.62b20250927-py3-none-any.whl

Download URL tmnt-0.7.62b20250927-py3-none-any.whl
Size 64.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b2bdd7c80f00c18950a457b3e8ff537b9d0b257627ba583e9277b21899a08f75
BLAKE2b-256 checksum
How to use checksums
821947c359ee516cedb087e36e4bf36d4f739720f08620211a76b95d58317b93
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.7

Security for tmnt 0.7.62b20250927

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