Skip to main content

Visual AI Learning Ecosystem - MLVisual®

Project description

MLV-Lab: Visual AI Learning Ecosystem

License: MIT Python Version

MLV-Lab is a pedagogical ecosystem for exploring fundamental Artificial Intelligence concepts through visual and interactive experimentation.

Our philosophy is "Show, don't tell": we move from abstract theory to concrete, visual practice, allowing enthusiasts and developers to train and observe intelligent agents right from the terminal.


🚀 Full Guide on GitHub

This README is a lightweight version.

For the most complete and up-to-date information, including:

  • Detailed installation instructions.
  • CLI and API usage examples.
  • Documentation for all available environments.
  • Guidelines for contributing to the project.

👉 Visit our GitHub repository: https://github.com/hcosta/mlvlab

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mlvlab-0.2.16.tar.gz (69.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mlvlab-0.2.16-py3-none-any.whl (84.9 kB view details)

Uploaded Python 3

File details

Details for the file mlvlab-0.2.16.tar.gz.

File metadata

  • Download URL: mlvlab-0.2.16.tar.gz
  • Upload date:
  • Size: 69.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.1

File hashes

Hashes for mlvlab-0.2.16.tar.gz
Algorithm Hash digest
SHA256 c478d2326dc01f6717e981480a28ac01e7cf36753d7a413e22e5238d60abf84d
MD5 a0bfae7edef7fe562cf6e5cd97850b2f
BLAKE2b-256 1dbeb7df899afa12991ec55041b93c1570f2df4930c2304b37390a36dc9ef47c

See more details on using hashes here.

File details

Details for the file mlvlab-0.2.16-py3-none-any.whl.

File metadata

  • Download URL: mlvlab-0.2.16-py3-none-any.whl
  • Upload date:
  • Size: 84.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.1

File hashes

Hashes for mlvlab-0.2.16-py3-none-any.whl
Algorithm Hash digest
SHA256 5b67ee0cdefdd3157a62e962d06047a1eacddeebe380903ebc22b49fcf83784f
MD5 f4b2eea8564a951088c746fc22d5c0ea
BLAKE2b-256 d014a5a45b58a13858ef1e181a3cd2249e7a4ac97e47e9a7a6a5852b57c0990d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page