ForgeOpus/visionforge

Visual neural network builder with drag-and-drop interface. Export production-ready PyTorch/TensorFlow code with automatic shape inference and AI-powered assistance.

40
/ 100
Emerging

VisionForge helps machine learning researchers, students, and engineers rapidly design and prototype deep learning models without writing any code. You visually assemble neural network layers like building blocks, and the tool outputs clean, production-ready PyTorch or TensorFlow code for your model. This is ideal for anyone who needs to quickly experiment with different network architectures.

Use this if you want to design, validate, and get code for neural network architectures using a visual, drag-and-drop interface, rather than coding them by hand.

Not ideal if you prefer writing all your deep learning code manually or if your primary need is for model training and deployment infrastructure, rather than architectural design.

deep-learning-prototyping neural-network-design machine-learning-research model-architecture AI-development
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 13 / 25
Community 13 / 25

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Stars

8

Forks

2

Language

TypeScript

License

BSD-3-Clause

Last pushed

Mar 08, 2026

Commits (30d)

0

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