Python Geometrical Morphing

Surrogate Optimization Toolbox for Python

Fast radial basis function interpolation and kriging for large scale data

Open source library for scientific HPC

Enables computations over a set of particles in N-dimensional space

Surface manipulation and mesh morphing library

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with some tools extending numpy/scipy. It has a set of powerful parsers and data types for storing calculation data.

Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network

Multivariate Local Polynomial Regression and Radial Basis Function Regression

Pytorch RBF Layer implements a radial basis function layer in Pytorch. Radial Basis networks can be used to approximate functions.

an implementation of a Radial Basis Function Neural Network (RBFNN) for classification problem.

FC-KAN: Function Combinations in Kolmogorov-Arnold Networks

In this repository I publish the python code, that was part of my master thesis. The thesis can be found here, however its in German though, sry. :/

Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)

GPU-Accelerated Radial Basis Function (RBF) Interpolation in PyTorch

Universal Partial Differential Equations Simulator

Python tools for non-intrusive reduced order modeling

Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow water equations

Probabilistic Neural Network

Implementing Artificial Neural Network training process in Python