eBay/Sequence-Semantic-Embedding

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

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Encodes variable-length text sequences into fixed semantic vectors using configurable encoder architectures (source-only, dual, or shared) implemented in TensorFlow with RNN/LSTM/CNN blocks. Provides end-to-end pipelines including training, index generation, embedding visualization, and Flask-based REST APIs for production deployment. Supports four task patterns out-of-the-box with sample datasets and Makefiles for rapid prototyping across classification, ranking, cross-lingual retrieval, and QA domains.

460 stars. No commits in the last 6 months.

Archived Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 9 / 25
Community 24 / 25

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Stars

460

Forks

115

Language

Python

License

Apache-2.0

Last pushed

Dec 24, 2018

Commits (30d)

0

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