DengBoCong/nlp-paper
A comprehensive NLP paper collection with reading notes and dual-framework (TensorFlow/PyTorch) model reproduction code.
Not currently ranked — collecting fresh signals.
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This repository aggregates NLP research papers organized chronologically with the author’s reading notes and annotations. It includes reproduced model implementations using both TensorFlow and PyTorch, covering areas such as large language models, dialogue systems, text similarity, and vector retrieval. The project also links to companion repositories for dialogue system building and text similarity tools.
Frequently asked
- What is DengBoCong/nlp-paper?
- A comprehensive NLP paper collection with reading notes and dual-framework (TensorFlow/PyTorch) model reproduction code.
- Is nlp-paper open source?
- Yes — DengBoCong/nlp-paper is open source, released under the Apache-2.0 license.
- What language is nlp-paper written in?
- DengBoCong/nlp-paper is primarily written in Python.
- How popular is nlp-paper?
- DengBoCong/nlp-paper has 1.3k stars on GitHub.
- Where can I find nlp-paper?
- DengBoCong/nlp-paper is on GitHub at https://github.com/DengBoCong/nlp-paper.