andrewt3000/DL4NLP
A curated list of Stanford and Oxford course materials, academic papers, and tutorials on deep learning for NLP.
Not currently ranked — collecting fresh signals.
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This repository aggregates state-of-the-art resources for deep learning applied to natural language processing. It collects links to Stanford CS224D and Oxford Deep NLP course materials including lecture slides and videos, seminal papers on word vectors and neural probabilistic language models, and tutorials on topics like Word2Vec and word embeddings. The content targets sequence modeling tasks such as machine translation, image captioning, and dialog systems.
Frequently asked
- What is andrewt3000/DL4NLP?
- A curated list of Stanford and Oxford course materials, academic papers, and tutorials on deep learning for NLP.
- Is DL4NLP open source?
- Yes — andrewt3000/DL4NLP is an open-source project tracked on heatdrop.
- How popular is DL4NLP?
- andrewt3000/DL4NLP has 2.2k stars on GitHub.
- Where can I find DL4NLP?
- andrewt3000/DL4NLP is on GitHub at https://github.com/andrewt3000/DL4NLP.