Linking pages
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- GitHub - sw-yx/spark-joy: ✨😂 2000+ ways to add design flair, user delight, and whimsy to your product. https://github.com/sw-yx/spark-joy/blob/master/README.md 1 comment
- Recommendations for Engineers - Pawel Cislo https://pawelcislo.com/recommendations/ 0 comments
- GitHub - protontypes/awesome-robotic-tooling: Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace. https://github.com/protontypes/awesome-robotic-tooling 0 comments
- Knowing Machines - Critical Dataset Studies Reading List https://knowingmachines.org/reading-list 0 comments
- Datasets for Data Science and Machine Learning https://elitedatascience.com/datasets 0 comments
- Datasets on arXiv. We’re excited to announce our… | by Robert Stojnic | PapersWithCode | Medium https://medium.com/paperswithcode/datasets-on-arxiv-1a5a8f7bd104 0 comments
- Papers with Code 2021 : A Year in Review | by elvis | PapersWithCode | Medium https://medium.com/paperswithcode/papers-with-code-2021-a-year-in-review-de75d5a77b8b 0 comments
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