Neural Network Editor

A browser-based visual editor for designing neural networks and automatically generating ready-to-use PyTorch and TensorFlow code. No installation required.

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Visual Modeling

Design your neural network architecture visually using an intuitive drag-and-drop interface.

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Code Generation

Automatically generate clean PyTorch or TensorFlow code from your model definition.

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MDE Integration

Built on B-UML, the BESSER modeling language, enabling integration with broader system models.

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📄 Research Paper 💻 GitHub Repository 📝 Blog Post

Note: The editor currently supports fundamental neural network layer types including convolutional, recurrent, pooling, and linear layers. Support for additional architectures such as Transformers, ResNet, and Graph Neural Networks is planned for future releases.