There are 4 repositories under radial-basis-function topic.
An implementation of an RBF layer/module using PyTorch.
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.
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.
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. :/
Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow water equations
Implementing Artificial Neural Network training process in Python
Probabilistic Neural Network
GPU-Accelerated Radial Basis Function (RBF) Interpolation in PyTorch
Deep Learning using Neural Network Toolbox + Finance Portfolio Selection with MorningStar
A Fortran implementation of radial basis function (RBF)
Neural Ordinary Differential Equations for model order reduction of time-dependent PDEs
Predicting wine quality using regression on the well-known UCI data set and more
Optimization platform based on evolutionary algorithms.
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
Fast and scalable RBF interpolation
EvoRBF: A Python Library for Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms
Basic implementation of FNN and RBF neural networks using tensorflow.
Learning-based robust tube based MPC of nonlinear systems via difference of convex radial basis functions
A collection of Matlab routines for illustrating methods for identifying Radial Basis Function (Neural) Network models for NARX-type nonlinear dynamical systems from data, incorporating prior information about the system's fixed points.
MATLAB implementations of different learning methods for Radial Basis Functions (RBF)
This repository contains the implementation of hierarchical clustering and a Radial Basis Function - Neural Network in python. This was done as a part of course of ES 615 : Nature Inspired Computing offered at IIT-Gandhinagar during Semester-I 2021-22.
basic and simple General Regression Neural Network for NodeJS
Visualization of the training process of an RBF network
Predicting complex chaotic behaviors using Radial Basis Function Neural Networks