This is the Linux app named seq2seq whose latest release can be downloaded as seq2seqsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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seq2seq
DESCRIPTION
seq2seq is an early, influential TensorFlow reference implementation for sequence-to-sequence learning with attention, covering tasks like neural machine translation, summarization, and dialogue. It packaged encoders, decoders, attention mechanisms, and beam search into a modular training and inference framework. The codebase showcased best practices for batching, bucketing by sequence length, and handling variable-length sequences efficiently on GPUs. Researchers used it as a baseline to reproduce classic results and to prototype new attention variants and training tricks. It also offered scripts for data preprocessing, evaluation, and exporting models for serving. Although now historical as newer frameworks have emerged, seq2seq remains a clear, pedagogical implementation that documents the core ideas behind modern encoder-decoder systems.
Features
- Modular encoders, decoders, and attention mechanisms
- Beam search and sampling for inference
- Efficient batching, bucketing, and padding strategies
- Data preprocessing and evaluation scripts
- Checkpointing and export for serving
- Reproducible baselines for translation and summarization
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/seq2seq.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
