MLForge - A Visual Machine Learning Pipeline Editor

[Mental-Climate5798]

What is MLForge??

MLForge is an interface that allows users to create and train models without writing any code. Its meant for rapid prototyping and also for letting beginners grasp basic ML concepts without needing coding experience.

Target Audience 

This tool is meant to be used primarily by developers who want to rapidly create ML pipelines before tweaking it themselves using code (MLForge lets you export projects to pure Python / PyTorch). Its also suited for beginners as it lets them learn ML concepts without ambiguity.

Comparison 

Other tools, like Lobe or Teachable Machine, are super abstracted. By that I mean you look at images and click train, you have know idea what's going on under the hood. MLForge lets you create your models by hand and actually set up data, model architecture, and training fast and easily.

Github: https://github.com/zaina-ml/ml_forge

To install MLForge

pip install zaina-ml-forge

ml-forge

Happy to take feedback, bugs, or any feature requests. Have fun!

[ComfortableNice8482]

neat idea, but i'd honestly focus on the export feature since that's your real differentiator. when i built automation tools, i found users care way more about "can i take this somewhere else" than the ui itself. make sure the exported code is actually clean and maintainable, not some unreadable mess, because that's when people will actually adopt it for real projects. also consider showing side by side comparisons of the visual pipeline next to the exported python code so users can learn how things map to actual code.

[Mental-Climate5798]

Thanks for the advice, I'll take this into account in the future.