LuminaNet 🌟

Illuminate Your AI Journey with Pure Python Deep Learning

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?

🚀 Quick Installation

From PyPI

pip install luminanet

From Source

git clone https://github.com/yourusername/luminanet.git
cd luminanet
pip install -e .

For Termux (Android)

pkg install python python-pip
pip install numpy scipy nltk sastrawi
pip install luminanet

💡 Quick Start

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 for details.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

👨‍💻 Author

Your Name - GitHub - 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