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
.aceformat - Advanced Tokenization: Flexible preprocessing and vocabulary management
- Production Ready: Comprehensive training utilities and inference tools
📖 Documentation
🎯 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.
1 maintainer
Metadata
1 maintainer
Release files for aceflow 1.7.0
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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Total release size: 56.6 kB
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| Download URL | aceflow-1.7.0.tar.gz |
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| Tags | Python 3 |
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