Show HN: MLForge – A no-code, node-based ML trainer

Created a no-code ML platform; designed for developers to develop quick prototypes for ML pipelines fast and for beginners without coding experience who are looking to learn ML.Key features: automatic shape calculations when connecting layers to each other, built-in metrics & inference windows, and ability to export to pure PyTorch.Tech Stack: Built with Python, PyTorch, and DearPyGui.The Goal: This isn't meant to replace production code, but to make prototyping architectures feel more like sketching.I'd love to hear your thoughts on this approach. I've worked on this project for a while and I'm looking for feedback on what direction to go: beginner appeal or more developer oriented.