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 0.7.46b20240302

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 0.7.46b20240302
File Size Uploaded Provenance Actions
tmnt-0.7.46b20240302.tar.gz 52.2 kB Without provenance Details for tmnt-0.7.46b20240302.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.46b20240302
File Interpreter ABI Platform Actions
tmnt-0.7.46b20240302-py3-none-any.whl Python 3 none any Details for tmnt-0.7.46b20240302-py3-none-any.whl

Total release size: 109.7 kB

Release files / tmnt-0.7.46b20240302.tar.gz

Download URL tmnt-0.7.46b20240302.tar.gz
Size 52.2 kB
Tags Source
SHA-256 checksum
How to use checksums
c15522ed975115fa311ddce430f3ce17a6bd6553f0daf85371b88e240c84c98b
BLAKE2b-256 checksum
How to use checksums
18c2f57101040fa0589f7216196efa90477f3196480c1311a916eb608194e142
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Release files / tmnt-0.7.46b20240302-py3-none-any.whl

Download URL tmnt-0.7.46b20240302-py3-none-any.whl
Size 57.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
074fb9a6e1980cca56ff4ca63888808adda2bfe4237a44f25878b5c923972806
BLAKE2b-256 checksum
How to use checksums
cfe41796b866787df94cb62c1bfe8b4eb0b8b47acac1d351600cd1107aafce06
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Security for tmnt 0.7.46b20240302

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