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 0.7.46b20240222

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 0.7.46b20240222
File Size Uploaded Provenance Actions
tmnt-0.7.46b20240222.tar.gz 52.2 kB Without provenance Details for tmnt-0.7.46b20240222.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.46b20240222
File Interpreter ABI Platform Actions
tmnt-0.7.46b20240222-py3-none-any.whl Python 3 none any Details for tmnt-0.7.46b20240222-py3-none-any.whl

Total release size: 109.7 kB

Release files / tmnt-0.7.46b20240222.tar.gz

Download URL tmnt-0.7.46b20240222.tar.gz
Size 52.2 kB
Tags Source
SHA-256 checksum
How to use checksums
1597bd311af15efb0fd404f6496e8e38f4a12634b364929a7f59917ffbe1011b
BLAKE2b-256 checksum
How to use checksums
47df5ac5c76a146205d268823d5b564019403ef9887704b757e55b1bf00850a8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Release files / tmnt-0.7.46b20240222-py3-none-any.whl

Download URL tmnt-0.7.46b20240222-py3-none-any.whl
Size 57.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
cbf6d5ac2f17f8fec9b11ddf048da042eec03da4838cb3cab20b570b3330392e
BLAKE2b-256 checksum
How to use checksums
fdb1496be405aae87f6d4d5969974fba2a67461d512d91d9878a27bfb304400e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Security for tmnt 0.7.46b20240222

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