{"repo":"Mxbonn/MLRF","free":true,"listed":false,"github":"https://github.com/Mxbonn/MLRF","clone":"git clone https://github.com/Mxbonn/MLRF.git","description":"Machine Learning Research Flashcards (for Anki and Obsidian)","language":"Python","stars":88,"topics":["anki","flashcards","machine-learning","deep-learning","machine-learning-flashcards","obsidian"],"license":null,"category":"machine-learning","readme_excerpt":"MLRF M achine L earning R esearch F lashcards (for Anki and Obsidian) Description MLRF is a collection of machine learning flashcards that can be used with Anki and Obsidian. The flashcards in this repository are associated with scientific research papers in the field of machine learning. As a machine learning researcher, I read many papers to stay current with the state-of-the-art. Yet I often found myself only vaguely remembering papers months later. Thinking only \"I read something about that\" without retaining the specifics. Inspired by Michael Nielsen's article \"Augmenting Long-term Memory\", I started using Anki and spaced repetition to fix this problem. These flashcards are not a substitute for reading papers, but a complement to deepen and retain your understanding. The papers are initially selected based on my interests, but this repository is open to community contributions. If you use these flashcards with Anki or Obsidian, I'd welcome your additions and improvements. Preview Papers Title URL flashcards ----- ----- ---------- π₀: A Vision-Language-Action Flow Model for General Robot Control [ arXiv ] [ pi zero.md ] 3D Gaussian Splatting for Real-Time Radiance Field Rendering [ arXiv ] [ gaussian splatting.md ] A Simple Framework for Contrastive Learning of Visual Representations [ arXiv ] [ simclr.md ] Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour [ arXiv ] [ accurate large minibatch sgd.md ] An Image is Worth 16x16 Words: Transformers for Image Recognit","default_branch":null,"files":null,"tree":[],"storefront":"/r/Mxbonn","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Mxbonn/MLRF/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}