Projects in Awesome Lists tagged with chebyshev-polynomials

https://github.com/dsgiitr/graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

chebyshev-polynomials deepwalk graph-attention-networks graph-convolutional-networks graph-embedding graph-representation-learning graph-sage node-embedding pytorch

Last synced: 14 May 2025

https://github.com/sigma-py/orthopy

:triangular_ruler: Orthogonal polynomials in all shapes and sizes.

chebyshev-polynomials chemistry engineering legendre-polynomials mathematics physics polynomials python quadrature spherical-harmonics zernike-polynomials

Last synced: 12 Dec 2025

https://github.com/abhilash1910/spectralembeddings

spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.

chebyshev-polynomials gcn gcn-filter node-embedding sdne spectral spline tensorflow2 tf vanillagcn

Last synced: 02 Jan 2026

https://github.com/hazdzz/chebnet

The PyTorch version of ChebNet.

chebyshev-filter chebyshev-polynomials gnn

Last synced: 05 Oct 2025

https://github.com/mlazaric/chebyshev

A simple python module for approximating any sympy expression using the Taylor series and Chebyshev polynomials.

approximation chebyshev-polynomials dismat2 python sympy

Last synced: 10 Mar 2026

https://github.com/stuffmatic/microcheby

A Rust library for computing and evaluating polynomial approximations of functions of one variable using Chebyshev expansions.

chebyshev-approximation chebyshev-expansion chebyshev-polynomial chebyshev-polynomials no-std rust rust-lang

Last synced: 17 Mar 2025

https://github.com/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.

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

Last synced: 21 Aug 2025

https://github.com/bitwyre/chebyshev_primality_testing

Chebyshev polynomials of the first kind and primality testing

c chebyshev-polynomials congruence conjecture mod primality-test prime prime-numbers

Last synced: 05 Sep 2025

https://github.com/sgaure/chebpol

Source code for R package chebpol on CRAN

chebyshev-polynomials floater-hormann interpolation multivariate r spline-interpolation thin-plate-splines

Last synced: 23 Oct 2025

https://github.com/ivan-pi/pdecheb

Chebyshev Polynomial Software for Elliptic-Parabolic Systems of PDEs

chebyshev-polynomials elliptic-pde fortran method-of-lines parabolic-pde partial-differential-equations pde-solver spatial-discretization

Last synced: 06 Jan 2026

https://github.com/cgohlke/chebyfit

Fit exponential and harmonic functions using Chebyshev polynomials

chebyshev-polynomials fluorescence-lifetime-spectroscopy fluorescence-microscopy-imaging image-processing python

Last synced: 29 Apr 2025

https://github.com/jrc-isia/ml-optimized-orthogonal-basis-1d-pp

Experimental Python code developed for research on: H. Waclawek and S. Huber, “Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation,” in Learning and Intelligent Optimization, Cham: Springer Nature Switzerland, 2025, pp. 427–441.

approximation chebyshev-polynomials electronic-cams gradient-descent piecewise-polynomials tensorflow