Educational PyTorch NMT library for coursework and instruction.
Project description
TorchLingo
TorchLingo is an educational PyTorch library for Neural Machine Translation (NMT). Designed for students and instructors, it provides a clean, well-documented implementation of the Transformer architecture for learning and experimentation.
Features
- 🎓 Educational Focus: Clean, readable code designed for learning
- 🔄 Transformer Architecture: Full encoder-decoder implementation with multi-head attention
- 📝 SentencePiece Tokenization: BPE and Unigram subword models
- 🔁 Back-Translation: Data augmentation for improved translation quality
- 🌍 Multilingual Support: Train a single model for multiple language pairs
- 📊 TensorBoard Integration: Monitor training progress in real-time
Installation
pip install torchlingo
For development:
pip install torchlingo[dev]
Documentation
For full documentation, tutorials, and API reference, visit:
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the GNU Affero General Public License v3.0 - see the LICENSE file for details.
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