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nn

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First-principle implementations of groundbreaking AI algorithms using a wide range of deep learning frameworks, accompanied by supporting research papers and demos.

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To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary cond…

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Port of Karpathy's micrograd in pure C. Micrograd is a tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.

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  • C

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