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Extremely slow but mostly functional subset of pytorch, with an autodiff engine and small nn library. Inspired by Karpathy's micrograd but supporting tensor-valued nodes and some more operations like broadcasting, matrix multiplication and convolutions. See demos/mnist.ipynb for example usage

Links

  • Karpathys video on autograd
  • Course on autograd
  • Colab example implementation of pytorch autograd
  • Articles on optimization algorithms, other good articles on same site (d2l.ai)

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Basic autograd engine / ML-library

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