Oscillatory models of FHN
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Updated
Oct 13, 2018 - Python
Oscillatory models of FHN
Graph dynamical systems library
EIT-EBM
[ICML 2023] Non-Uniform Neural Operator (NUNO)
NUMERical methods for solving the AdvecTion Equation (NUMERATE)
This repository contains Python code for numerical simulation, data analysis, and figures associated with the Herho et al. (2024) manuscript.
Simulations for a minimal model of the dynamics of wave propagation of the action potentials in human ventricular tissue. In 2016.
A program designed to solve partial differential equations using neural networks, that uses Theano for symbolic computation.
This is the code that supplements arXiv:2009.08875, where we describe a parallel algorithm for solving linear parabolic equations.
Code repository for the paper Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations
Official PyTorch implementation of the Vectorized Conditional Neural Field.
Finite element solver for partial differential equations on arbitrary meshes
My python implementation of different Computational Methods and Applications.
Solve the elliptic Poisson partial differential equation using finite difference methods.
Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features''
Tercera tarea del curso Modelación y Computación Gráfica: Diferencias finitas. Visualización 3D de un acuario con zonas de temperatura dadas al resolver una EDP.
Приведена архитектура нейронной сети, основанной на преобразовании Фурье для решения УЧП Навье-Стокса
Solving partial differential equation (2d heat equation) numerically using finite differences method.
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