🧠 Neural Networks From Scratch

Build deep learning models from the ground up. This educational repository includes clean implementations of Deep NN's with PyTorch.

🎯 What's Inside

🖼️ PixelCNN

Generate images pixel by pixel using masked convolutions:

python main.py --epochs 50 --lr 1e-3

📚 Word2Vec

Train word embeddings:

python train.py --epochs 5 --emb_dim 100

✨ Features

• 📦 Clean, implementation
• 🚀 Ready training loops
• 🔍 Early stopping and model checkpoints
• 💡 Educational comments and documentation

🛠️ Quick Start

git clone https://github.com/YourUsername/neural-networks-scratch.git
cd neural-networks-scratch

Full documentation in respective folders.

📈 Results

• PixelCNN: Generate MNIST-like digits
• Word2Vec: Learn semantic word relationships

🤝 Contribute

Found a bug? Want to add a feature? Contributions are welcome!

📝 Citation

@misc{Custom_nn,
  author = {Vadimbuildercxx},
  title = {Neural Networks From Scratch},
  year = {2024},
  publisher = {GitHub},
  url = {https://github.com/YourUsername/neural-networks-scratch}
}

🌟 Star History

📖 Learn More

• PixelCNN Paper
• Word2Vec Paper
• Implementation Details(Soon)

🎓 Educational Resources

Perfect for:

• 🎯 Learning deep learning from scratch
• 🔬 Understanding modern architectures

💫 Why This Repo?

• Clean, readable code
• Modern best practices
• Production-ready features
• Educational focus

🔥 Coming Soon

• Transformer implementations
• SSM implementations
• Pre-trained models
• More architectures!

📜 License

MIT ©