CMU-ECE-CS-Guide
best_AI_papers_2021
CMU-ECE-CS-Guide | best_AI_papers_2021 | |
---|---|---|
1 | 30 | |
431 | 2,908 | |
6.3% | - | |
7.6 | 2.7 | |
3 months ago | 7 months ago | |
- | MIT License |
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CMU-ECE-CS-Guide
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We need a mega thread for course classes + CMU program advice
[0] https://github.com/CMU-HKN/CMU-ECE-CS-Guide
best_AI_papers_2021
- The past two years went down in a blink because of some pandemic? Check out this 2021 recap of the most exciting advancements in the AI field to see what you may have missed out on!
- GitHub - louisfb01/best_AI_papers_2021: A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
What are some alternatives?
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best_AI_papers_2022 - A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
CVPR2024-Papers-with-Code - CVPR 2024 论文和开源项目合集
MLE-Flashcards - 200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
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license-against-the-machine - Strictly no AIs
awesome-scalability - The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
sandlib