# LuminaNet 🌟
**Illuminate Your AI Journey with Pure Python Deep Learning**
[](https://pypi.org/project/luminanet/)
[](https://pypi.org/project/luminanet/)
[](https://opensource.org/licenses/MIT)
[](https://termux.com/)
[](https://github.com/yourusername/luminanet/stargazers)
**LuminaNet** adalah framework deep learning pure Python yang dirancang untuk edukasi dan production dengan dependencies minimal. Hanya menggunakan **NumPy, SciPy, NLTK, dan Sastrawi**.
## 🎯 **Why LuminaNet?**
| Feature | LuminaNet | Others |
|---------|-----------|--------|
| **Dependencies** | 🟢 4 libraries | 🔴 10+ libraries |
| **Termux Support** | 🟢 Perfect | 🔴 Limited |
| **Pure Python** | 🟢 100% | 🟡 Mixed |
| **Educational** | 🟢 Excellent | 🟡 Good |
| **Indonesian NLP** | 🟢 Built-in | 🔴 None |
## 🚀 **Quick Installation**
### From PyPI
```bash
pip install luminanet
```
### From Source
```bash
git clone https://github.com/yourusername/luminanet.git
cd luminanet
pip install -e .
```
### For Termux (Android)
```bash
pkg install python python-pip
pip install numpy scipy nltk sastrawi
pip install luminanet
```
## 💡 **Quick Start**
```python
from luminanet import NeuralNetwork, Dense
import numpy as np
# XOR Example
X = np.array([[0, 0], [0, 1], [1, 0], [1, 1]])
y = np.array([[1, 0], [0, 1], [0, 1], [1, 0]])
model = NeuralNetwork("XORSolver")
model.add(Dense(4, activation='relu'))
model.add(Dense(2, activation='softmax'))
model.compile(optimizer='adam', loss='categorical_crossentropy')
model.train(X, y, epochs=1000)
print(model.predict(X))
```
## 🤝 **Contributing**
We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.
## 📄 **License**
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 👨💻 **Author**
Your Name - [GitHub](https://github.com/yourusername) - your.email@example.com
## 🙏 **Acknowledgments**
- NumPy team untuk komputasi numerik
- NLTK team untuk NLP capabilities
- Sastrawi team untuk Indonesian language support
- Python community untuk ecosystem yang luar biasa
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