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

:triangular_ruler: Orthogonal polynomials in all shapes and sizes.

A web app that generates code for efficiently approximating mathematical functions of one variable.

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.

This is my personal library of code that is common to my different projects (Photosounder, SplineEQ, Spiral and others)

Methods in numerical analysis. Includes: Lagrange interpolation, Chebyshev polynomials for optimal node spacing, iterative techniques to solve linear systems (Gauss-Seidel, Jacobi, SOR), SVD, PCA, and more.

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.

The PyTorch version of ChebNet.

Python implementation of Remez algorithm, provides the best uniform polynomial approximation to functions based on the minimization of the maximum absolute error and the equioscillation theorem.

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

A collection of Python programs that helps in Numerical Analysis.

[CVPR 2025] Official implementation of Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute Loss

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

A Python module to compute multidimensional arrays of evaluated (orthogonal) functions.

The official PyTorch implementation of Converter.

Chebyshev polynomials of the first kind and primality testing

C++ functions which evaluate Chebyshev polynomials

Source code for R package chebpol on CRAN

Toolkit for Data Science & Statistics

Third project for DisCont Mathematics 2 @ FER

Chebyshev Polynomial Software for Elliptic-Parabolic Systems of PDEs

Orthogonal polynomials for optics analysis

SEMIEMP:Open source code for semiempirical qunatum chemistry calculations

This is the repo of the research paper, "Data-driven computing in elasticity via Chebyshev Approximation".

The official PyG implementation of ChebGibbsNet.

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.

Scripts for the study of n-th order Type 1 Chebyshev filters

CFNO is a variant of Fourier Neural Operators that uses a Chebychev expansion in the vertical direction.

A Rust crate for Chebyshev-polynomial interpolation and evaluation. Provides node generation, coefficient fitting, and stable polynomial evaluation for efficient numeric approximation and piecewise interpolation.

Fit exponential and harmonic functions using Chebyshev polynomials.