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: 0.7.42

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 0.7.42b20240102

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 0.7.42b20240102
File Size Uploaded Provenance Actions
tmnt-0.7.42b20240102.tar.gz 52.1 kB Without provenance Details for tmnt-0.7.42b20240102.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.42b20240102
File Interpreter ABI Platform Actions
tmnt-0.7.42b20240102-py3-none-any.whl Python 3 none any Details for tmnt-0.7.42b20240102-py3-none-any.whl

Total release size: 109.6 kB

Release files / tmnt-0.7.42b20240102.tar.gz

Download URL tmnt-0.7.42b20240102.tar.gz
Size 52.1 kB
Tags Source
SHA-256 checksum
How to use checksums
df6cc8c724c5e2cbccd1f75123cf1af114d10682d9496c24a4557db1c07924f4
BLAKE2b-256 checksum
How to use checksums
097ed6b0b1b64551f6b8f6962bf8e3286249c8ed33fde2899181f09b37c9da1a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.12.1

Release files / tmnt-0.7.42b20240102-py3-none-any.whl

Download URL tmnt-0.7.42b20240102-py3-none-any.whl
Size 57.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7172c0f7898579231ec410b5569d2875fb7c481854d50af036392ba48e865158
BLAKE2b-256 checksum
How to use checksums
3ce98dee788325bb309189652d6bda885b87992e4e586e3902da573b33707381
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.12.1

Security for tmnt 0.7.42b20240102

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