Visual AI Learning Ecosystem - MLVisual®
Project description
MLV-Lab: Visual AI Learning Ecosystem
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mlvlab-0.2.18.tar.gz.
File metadata
- Download URL: mlvlab-0.2.18.tar.gz
- Upload date:
- Size: 72.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cfbf145ec36a394282fef0bb26af22a33f44361eaae45efcb6bc043625bfa212
|
|
| MD5 |
1ce5bbe6306c2f807a021fdd0c0112fd
|
|
| BLAKE2b-256 |
888a5cd6be1a5d26362278e9a7a708cbad372a9614e3fd8774b1a36ba4e897eb
|
File details
Details for the file mlvlab-0.2.18-py3-none-any.whl.
File metadata
- Download URL: mlvlab-0.2.18-py3-none-any.whl
- Upload date:
- Size: 89.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a0293aecf26aa0d92a2e565f57541d14d73204485c6e9d7ae2038cb3a2cbd9e2
|
|
| MD5 |
2eb7a41fe4a9400fe2936e66eb06ffea
|
|
| BLAKE2b-256 |
fc587487698e0e2d8d13f796e283c4dfae1e730e6cf75c4929b150643820d782
|
