Surrogate models and active learning for scientific applications.

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

This project implements classification using a Multi-Layer Perceptron (MLP) trained via backpropagation and a Radial Basis Function (RBF) Network with random center selection. Performance comparison includes decision boundary visualization and accuracy analysis.

FC-KAN: Function Combinations in Kolmogorov-Arnold Networks

Python Implementation of the preconditioned conjugate gradient algorithm

HydroWizard: State-of-the-art hydrological modeling, optimization, and simulation using neural networks, genetic algorithms, and DAGs.

A Python implementation of the Faul-Goodsen-Powell algorithm for multidimensional interpolation with radial basis functions.

The project aims to research and develop a python package to solve PDEs using the Collocation Method with Radial Basis Functions (RBF). This a project done for the Centro de Investigación en Computación of the Instituto Politénico Nacional under the supervision of Dr. Juan Carlos Chimal Eguía.

Universal Partial Differential Equations Simulator

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.

Python tools for non-intrusive reduced order modeling

Predicting complex chaotic behaviors using Radial Basis Function Neural Networks

This project provides a comprehensive guide to implementing PCA from scratch and validating it using scikit-learn's implementation. The visualizations help in understanding the data's variance and the effectiveness of dimensionality reduction.

EvoRBF: Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms

Polyharmonic spline interpolation in PyTorch

Python Geometrical Morphing

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

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

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

Multivariate Local Polynomial Regression and Radial Basis Function Regression