ML Block

ML Block is a visual, block-based web application that lets anyone build and experiment machine learning, reinforcement learning and deep learning with a no code solution. Like Scratch, but for AI.

How does it work?

Users drag and drop visual blocks representing ML concepts (layers, datasets, training parameters, etc.) to assemble a complete pipeline. Under the hood, the blocks are translated into a PyTorch or other python AI libraries model that gets trained and evaluated in real time. The interface abstracts away all the code while keeping the logic transparent and educational.

Getting Started

Installation

# Clone the repository
git clone git@github.com:PoCInnovation/MLBlock.git
cd ml-block

Quickstart

# (TBD)

Usage

# (TBD)

Get involved

You're invited to join this project ! Check out the contributing guide.

If you're interested in how the project is organized at a higher level, please contact the current project manager.

Our PoC team 💜

Developers

Ilan LEROUX PINCHINAT	Ali BASSIM	Chedli OUAZIZ

Manager

Sacha HENNEVEUX

Organization

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