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LuminaNet: Pure Python Deep Learning Framework - Illuminate AI with Minimal Dependencies

Project description

LuminaNet 🌟

Illuminate Your AI Journey with Pure Python Deep Learning

PyPI version Python Versions License: MIT Termux Compatible GitHub stars

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

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

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