#计算机科学#59 篇深度学习论文的实现，并带有详细注释。包括 transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 强化学习 (ppo, dqn), capsnet, distillation, ... 🧠
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An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
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Scientific reports/literate programming for Julia
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Add interactive code snippets to any blog or webpage.
Literate Visualization: Theory, software and examples
Live code in Pandoc Markdown
🧮 Literate programming for M-x calc
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An R Pandoc Writer: Convert arbitrary R objects into markdown
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