AceFlow - Seq2Seq Model Library

A powerful Python library for building and training Sequence-to-Sequence models with attention mechanisms.

🚀 Features

• Multiple RNN Types: LSTM, GRU, RNN, and bidirectional variants
• Attention Mechanisms: Bahdanau and Luong-style attention
• Custom Model Format: Save/load models in .ace format
• Advanced Tokenization: Flexible preprocessing and vocabulary management
• Production Ready: Comprehensive training utilities and inference tools

📖 Documentation

• Installation Guide
• Quick Start
• API Reference
• User Guides
• Examples

🎯 Quick Example

from aceflow import Seq2SeqModel
from aceflow.utils import Tokenizer

# Initialize model
model = Seq2SeqModel(
    src_vocab_size=1000,
    tgt_vocab_size=1000,
    hidden_size=256,
    rnn_type='lstm',
    use_attention=True
)

# Train and save
model.save("model.ace")

# Load model
loaded_model = Seq2SeqModel.load("model.ace")

📦 Installation

For detailed installation instructions, see Installation Guide.

📄 License

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

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Made with ❤️ by Maaz Waheed

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