dzyim/ilya-sutskever-recommended-reading
An annotated reading list of ~30 deep learning research papers curated by Ilya Sutskever for John Carmack.
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This repository compiles a list of foundational deep learning papers that Ilya Sutskever allegedly recommended to John Carmack, claiming mastery of these materials covers 90% of what matters in the field. The list includes landmark papers on transformers, LSTM networks, RNN regularization, ImageNet classification, and sequence-to-sequence models, each linked to blogs, PDFs, or code implementations.
Frequently asked
- What is dzyim/ilya-sutskever-recommended-reading?
- An annotated reading list of ~30 deep learning research papers curated by Ilya Sutskever for John Carmack.
- Is ilya-sutskever-recommended-reading open source?
- Yes — dzyim/ilya-sutskever-recommended-reading is an open-source project tracked on heatdrop.
- How popular is ilya-sutskever-recommended-reading?
- dzyim/ilya-sutskever-recommended-reading has 1.6k stars on GitHub.
- Where can I find ilya-sutskever-recommended-reading?
- dzyim/ilya-sutskever-recommended-reading is on GitHub at https://github.com/dzyim/ilya-sutskever-recommended-reading.