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 0.7.42b20240116

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 0.7.42b20240116
File Size Uploaded Provenance Actions
tmnt-0.7.42b20240116.tar.gz 52.1 kB Without provenance Details for tmnt-0.7.42b20240116.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tmnt 0.7.42b20240116
File Interpreter ABI Platform Actions
tmnt-0.7.42b20240116-py3-none-any.whl Python 3 none any Details for tmnt-0.7.42b20240116-py3-none-any.whl

Total release size: 109.6 kB

Release files / tmnt-0.7.42b20240116.tar.gz

Download URL tmnt-0.7.42b20240116.tar.gz
Size 52.1 kB
Tags Source
SHA-256 checksum
How to use checksums
28c188ad885c02402c4d652ad7cf12b64e7996e88d483c08f5f29ac9230b77b2
BLAKE2b-256 checksum
How to use checksums
031729b1cdea982976128f08d64afe84ecc827f866df497692ac58531a0856a6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.12.1

Release files / tmnt-0.7.42b20240116-py3-none-any.whl

Download URL tmnt-0.7.42b20240116-py3-none-any.whl
Size 57.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
757200b1e6e7247ec9b66082ac107aa632ddca17a9481336ece635bbaabc0b3c
BLAKE2b-256 checksum
How to use checksums
0b9aa4e3beefdb0b92b04c371137b7ef587071db8491436c41a8fd0802ee206c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.12.1

Security for tmnt 0.7.42b20240116

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