Machine-Learning-Tokyo/papers-with-annotations
A collection of annotated research papers on computer vision, deep learning, and related AI topics with illustrated explanations.
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This project compiles AI and machine learning research papers with handwritten annotations, imported figures, and brief explanations of technical terms and prior work. Topics covered include object detection, convolutional neural networks, unsupervised and self-supervised learning, and cognitive science applications. Contributors can submit pull requests with annotated papers to expand the collection.