Aman Sharma
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Parent(s):
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gradio demo added
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README.md
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# Sketch NN: Neural Network Designer
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<div align="center">
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<img src="path_to_your_logo.png" alt="Sketch NN Logo" width="200"/>
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<h3>Design Neural Networks with a Simple Sketch</h3>
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</div>
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Sketch NN is a powerful tool that allows you to design and generate PyTorch neural network code from simple flowchart sketches. With Sketch NN, you can quickly prototype complex neural architectures without writing a single line of code!
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## π Features
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- πΈ Upload or capture flowchart images
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- π§ Supports a wide range of neural network layers
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- π§ Generates ready-to-use PyTorch code
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- π₯οΈ User-friendly Gradio web interface
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- π FastAPI backend for scalable deployment
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## π οΈ Supported Layers
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- Convolutional (Conv2D)
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- Pooling (MaxPool2D, AvgPool2D)
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- Fully Connected (Linear)
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- Batch Normalization
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- Dropout
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- Activation Functions (ReLU, LeakyReLU, Sigmoid, Tanh)
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- Recurrent (LSTM, GRU)
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- Transformer
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- Multi-head Attention
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## πΌοΈ How It Works
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[Insert a diagram or flowchart here showing the process from sketch to code]
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1. Sketch your neural network architecture
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2. Upload or capture the image
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3. Sketch NN processes the image and extracts layer information
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4. PyTorch code is generated based on the extracted information
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5. Download and use the generated code in your project
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## π Getting Started
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### Prerequisites
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- Python 3.7+
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- PyTorch
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- OpenCV
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- Tesseract OCR
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### Installation
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```bash
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pip install sketch-nn
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