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.

Date Created 2020-02-20 (4 years ago)

Commits 518 (last one 6 months ago)

Stargazers 43 (0 this week)

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RepositoryStats indexes 595,856 repositories, of these jloveric/high-order-layers-torch is ranked #505,506 (15th percentile) for total stargazers, and #335,688 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #98,151/119,431.

jloveric/high-order-layers-torch is also tagged with popular topics, for these it's ranked: pytorch (#5,298/6025), deeplearning (#363/407)

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kan grid spline pytorch deeplearning discontinuous hp-refinement fluid-dynamics fourier-series sparse-network pytorch-lightning high-order-methods piecewise-polynomial chebyshev-polynomials implicit-representions lagrange-polynomial-interpolation

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updated: 2024-12-01 @ 02:28am, id: 241753889 / R_kgDODmjfIQ