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 0.7.62b20250729

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 0.7.62b20250729
File Size Uploaded Provenance Actions
tmnt-0.7.62b20250729.tar.gz 57.0 kB Without provenance Details for tmnt-0.7.62b20250729.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.62b20250729
File Interpreter ABI Platform Actions
tmnt-0.7.62b20250729-py3-none-any.whl Python 3 none any Details for tmnt-0.7.62b20250729-py3-none-any.whl

Total release size: 121.0 kB

Release files / tmnt-0.7.62b20250729.tar.gz

Download URL tmnt-0.7.62b20250729.tar.gz
Size 57.0 kB
Tags Source
SHA-256 checksum
How to use checksums
46cdae905111dae515a6fce9bf21c45c92d319bf1a1176ab386b66491ce2b93d
BLAKE2b-256 checksum
How to use checksums
4893f1062066180a31a92e2368251c0b2e38427a98c5df14fbd7d30b531666b2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.5

Release files / tmnt-0.7.62b20250729-py3-none-any.whl

Download URL tmnt-0.7.62b20250729-py3-none-any.whl
Size 64.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5d2eb4b86565c4caa0d81828908babb910c3391994387a6ed20c8e980df45f54
BLAKE2b-256 checksum
How to use checksums
962f13b37eaa635d7dc72cb23c451828cbd2e09eb4d9d37bbb8218acd50bbbb5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.5

Security for tmnt 0.7.62b20250729

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