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??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

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Learn how to design, develop, deploy and iterate on production-grade ML applications.

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Build and share delightful machine learning apps, all in Python. ? Star to support our work!

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