26hzhang/DL-NLP-Readings
A personal bibliography of deep learning, NLP, and computer vision research papers organized by topic.
Not currently ranked — collecting fresh signals.
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This repository is a structured reading list covering major areas of deep learning research including natural language processing (language modeling, embeddings, machine translation, QA, sentiment analysis), computer vision (representation learning, object detection, action recognition), and vision-and-language multi-modal research. The content is organized into markdown files with links to source papers and resources, functioning as an academic reference collection for ML/DL practitioners and researchers.
Frequently asked
- What is 26hzhang/DL-NLP-Readings?
- A personal bibliography of deep learning, NLP, and computer vision research papers organized by topic.
- Is DL-NLP-Readings open source?
- Yes — 26hzhang/DL-NLP-Readings is open source, released under the MIT license.
- What language is DL-NLP-Readings written in?
- 26hzhang/DL-NLP-Readings is primarily written in TeX.
- How popular is DL-NLP-Readings?
- 26hzhang/DL-NLP-Readings has 854 stars on GitHub.
- Where can I find DL-NLP-Readings?
- 26hzhang/DL-NLP-Readings is on GitHub at https://github.com/26hzhang/DL-NLP-Readings.