CMU-ECE-CS-Guide VS best_AI_papers_2021

Compare CMU-ECE-CS-Guide vs best_AI_papers_2021 and see what are their differences.

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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
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

CMU-ECE-CS-Guide

Posts with mentions or reviews of CMU-ECE-CS-Guide. We have used some of these posts to build our list of alternatives and similar projects.

best_AI_papers_2021

Posts with mentions or reviews of best_AI_papers_2021. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-06.

What are some alternatives?

When comparing CMU-ECE-CS-Guide and best_AI_papers_2021 you can also consider the following projects:

eth-cs-notes - Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich

aws-mlu-explain - Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/

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.

Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

C - Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

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