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
Metadata
Release files for mlvlab 0.2.24
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlvlab-0.2.24.tar.gz | 118.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlvlab-0.2.24-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 260.1 kB
Release files / mlvlab-0.2.24.tar.gz
| Download URL | mlvlab-0.2.24.tar.gz |
|---|---|
| Size | 118.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9c17b733af6b079daac30dc6e1e56fa84d845260d03862c0f37a8826937bb362
|
|
BLAKE2b-256 checksum How to use checksums |
bc78b305cbdd8ee4985ec11dade5dbec6389ecf1e4c1c7f391bc70d1b06ee952
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 28, 2025.
Transparency logRelease files / mlvlab-0.2.24-py3-none-any.whl
| Download URL | mlvlab-0.2.24-py3-none-any.whl |
|---|---|
| Size | 141.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3458a5a6acf8be1be351dcc3ba3a3ea1058a5366ab64e201ab77fb76811017df
|
|
BLAKE2b-256 checksum How to use checksums |
8165bdd4a671916f5f71f84616871717eba926cf456fc124d7b66c6a0e810d81
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 28, 2025.
Transparency log