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: 0.7.44

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 0.7.44b20240126

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 0.7.44b20240126
File Size Uploaded Provenance Actions
tmnt-0.7.44b20240126.tar.gz 52.4 kB Without provenance Details for tmnt-0.7.44b20240126.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.44b20240126
File Interpreter ABI Platform Actions
tmnt-0.7.44b20240126-py3-none-any.whl Python 3 none any Details for tmnt-0.7.44b20240126-py3-none-any.whl

Total release size: 109.9 kB

Release files / tmnt-0.7.44b20240126.tar.gz

Download URL tmnt-0.7.44b20240126.tar.gz
Size 52.4 kB
Tags Source
SHA-256 checksum
How to use checksums
b3deb35d0f211a849cf4e61ed7079d2b8cd83cfe035f171e04dc854167f0bb61
BLAKE2b-256 checksum
How to use checksums
ee563ffbdea9027811f3d85aff5d73b56396bc6cf48dfd130c13825c0a4e1778
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.12.1

Release files / tmnt-0.7.44b20240126-py3-none-any.whl

Download URL tmnt-0.7.44b20240126-py3-none-any.whl
Size 57.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2cb4f0ece0e1c17c07f3e732d072c02de1f627bb4f23f55e2a6002188f6bccab
BLAKE2b-256 checksum
How to use checksums
6463561885713b5d6d3c5fc8475f797d06be516bb3044af0e52529f3ae08f143
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.12.1

Security for tmnt 0.7.44b20240126

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