Skip to main content

AI and ML Lab Programs

This package contains a collection of Python programs that implement various AI and ML algorithms.

Installation

To install the package, you can use:

pip install aiml_lab

Metadata

Release files for aiml-dsce 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for aiml-dsce 1.0.0
File Size Uploaded Provenance
aiml_dsce-1.0.0.tar.gz 5.3 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for aiml-dsce 1.0.0
File Interpreter ABI Platform
aiml_dsce-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 11.1 kB

Release files / aiml_dsce-1.0.0.tar.gz

Download URL aiml_dsce-1.0.0.tar.gz
Size 5.3 kB
Tags Source
SHA-256 checksum
How to use checksums
be40f39724bcb0f866b7aae0b169e6d7eaafe1b39d3ec7376fcfb1225927f662
BLAKE2b-256 checksum
How to use checksums
e35469000893a2a0c7e0fa9284e21c00929c7445279f0c8c5de79dfc7aa16535
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.11.7

Release files / aiml_dsce-1.0.0-py3-none-any.whl

Download URL aiml_dsce-1.0.0-py3-none-any.whl
Size 5.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
84d351e6f6a8bd1582e4f15af897b01a821ea6551b9a6515cd150423df77b968
BLAKE2b-256 checksum
How to use checksums
536a7aa3e5ad85342a28e7df34c2af3016147713ffc042ca465abe7c308a11e6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.11.7

Security for aiml-dsce 1.0.0

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

1.0.0 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