hp-refinement

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jloveric / high-order-layers-torch
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected and convolutional layers included.
pytorch lagrange-polynomial-interpolation fourier-series piecewise-polynomial discontinuous pytorch-lightning chebyshev-polynomials deeplearning implicit-representions sparse-network hp-refinement fluid-dynamics grid spline high-order-methods kan
Language:Python 27

jloveric / high-order-layers-torch