|
--- |
|
title: Sketch Nn |
|
emoji: 😻 |
|
colorFrom: pink |
|
colorTo: blue |
|
sdk: gradio |
|
sdk_version: 4.38.1 |
|
app_file: app.py |
|
pinned: false |
|
license: mit |
|
--- |
|
|
|
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
|
|
|
# Sketch NN: Neural Network Designer |
|
|
|
<div align="center"> |
|
<img src="path_to_your_logo.png" alt="Sketch NN Logo" width="200"/> |
|
<h3>Design Neural Networks with a Simple Sketch</h3> |
|
</div> |
|
|
|
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! |
|
|
|
## 🌟 Features |
|
|
|
- 📸 Upload or capture flowchart images |
|
- 🧠 Supports a wide range of neural network layers |
|
- 🔧 Generates ready-to-use PyTorch code |
|
- 🖥️ User-friendly Gradio web interface |
|
- 🚀 FastAPI backend for scalable deployment |
|
|
|
## 🛠️ Supported Layers |
|
|
|
- Convolutional (Conv2D) |
|
- Pooling (MaxPool2D, AvgPool2D) |
|
- Fully Connected (Linear) |
|
- Batch Normalization |
|
- Dropout |
|
- Activation Functions (ReLU, LeakyReLU, Sigmoid, Tanh) |
|
- Recurrent (LSTM, GRU) |
|
- Transformer |
|
- Multi-head Attention |
|
|
|
## 🖼️ How It Works |
|
|
|
[Insert a diagram or flowchart here showing the process from sketch to code] |
|
|
|
1. Sketch your neural network architecture |
|
2. Upload or capture the image |
|
3. Sketch NN processes the image and extracts layer information |
|
4. PyTorch code is generated based on the extracted information |
|
5. Download and use the generated code in your project |
|
|
|
## 🚀 Getting Started |
|
|
|
### Prerequisites |
|
|
|
- Python 3.7+ |
|
- PyTorch |
|
- OpenCV |
|
- Tesseract OCR |
|
|
|
### Installation |
|
|
|
```bash |
|
pip install sketch-nn |
