Skip to main content

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 0.7.62

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 0.7.62
File Size Uploaded Provenance Actions
tmnt-0.7.62.tar.gz 56.9 kB Without provenance Details for tmnt-0.7.62.tar.gz

Built distribution (wheel)

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

Total release size: 120.9 kB

Release files / tmnt-0.7.62.tar.gz

Download URL tmnt-0.7.62.tar.gz
Size 56.9 kB
Tags Source
SHA-256 checksum
How to use checksums
6f77b345c8d82ee8546c449128181496124eb7046751ddaf4d3b902282269d9a
BLAKE2b-256 checksum
How to use checksums
b3d4036b7cf91b2b561f33df957de43d4e7da0dd5e927c2cc3074cb29a12a351
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.5

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

Download URL tmnt-0.7.62-py3-none-any.whl
Size 63.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
413910201a06fb0e4539957d45f3b26bfc0a3d9f42a89376ae23bf51cdd85eb1
BLAKE2b-256 checksum
How to use checksums
9b791271dab5aa25d3fb47017478a003e252e50f45633d48576033497be9f0f2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.5

Security for tmnt 0.7.62

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

0.7.62 This release

2 release files No provenance

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