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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Recent Deep Learning papers in NLU and RL
| Date | Stars |
|---|---|
| 2026-07-31 | 296 |
| 2026-08-05 | 296 |
| 2026-08-06 | 296 |
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# Recent Deep Learning papers in NLU and RL I think that other people's notes are rarely useful, so I'm listing the interesting for me papers with a few words about the main idea for me to make references in memory. If you're in such stuff, welcome: [__papers list__](./PAPERS2019.md). To keep list size feasible the each year papers are separated to specific file: * [2019](./PAPERS2019.md) * [2018](./PAPERS2018.md) * [2017](./PAPERS2017.md) * [2016 & earlier](./PAPERS.md) I'm not only adding recent papers, but also update lists for previous periods, if I find interesting "old" paper. To keep up with updates, you could follow me on [twitter](https://twitter.com/madrugad0). Also I've found that, there are some additional materials which are helpful for me or my students, so I've added a new list of miscellaneous [articles](./MISC.md). It is not sorted in chronological order, only by content type. To make the tool work you need Table-of-Content creation tool, which is integrated with this software; you only need `wget` available for download. This tool has an option of twitter integration, which need to be installed and configured before usage. The tool was tested to work on Ubuntu Linux 16.04 & MacOS X 10.6; it should work on newer versions of these operating systems. ## License  ## Table of Contents I'm using [toc maker](https://github.com/ekalinin/github-markdown-toc.go) from Eugeny Kalinin, it is very useful, thank to him for this tool. ## Twitter integration For twitting I'm using the perfect ["t"](https://github.com/sferik/t). It is really elegant and simple to use.
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f4c2abbd3ccc3f62, llm:Repository description and README: 'Recent Deep Learning papers in NLU and RL', topics include deep-learning, deep-learning-papers, natural-language-processing, nlu, reinforcement-learning; contains lists of papers by year (PAPERS2019.md etc.).
matched fp:f4c2abbd3ccc3f62, llm:Repository description and README: 'Recent Deep Learning papers in NLU and RL', topics include deep-learning, deep-learning-papers, natural-language-processing, nlu, reinforcement-learning; contains lists of papers by year (PAPERS2019.md etc.).
matched fp:f4c2abbd3ccc3f62, llm:Repository description and README: 'Recent Deep Learning papers in NLU and RL', topics include deep-learning, deep-learning-papers, natural-language-processing, nlu, reinforcement-learning; contains lists of papers by year (PAPERS2019.md etc.).