pydens

PDE solver

An open-source framework for numerically solving ordinary and partial differential equations using neural networks

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

GitHub

292 stars
16 watching
66 forks
Language: Jupyter Notebook
last commit: 10 months ago
deep-learningdifferential-equationsneural-networksnumerical-methodsodeode-solverpartial-differential-equationspde-solversolving-pdes

Related projects:

Repository Description Stars
patrick-kidger/diffrax Provides numerical differential equation solvers using autodifferentiable and GPU-capable JAX. 1,442
su2code/su2 A suite of software tools for solving partial differential equations and performing optimization 1,357
christopherrabotin/ode An ODE solving library for Go with support for multi-dimensional states and various numerical methods. 22
terenceyuyue/varfem Provides a software framework for solving partial differential equations using finite element methods in MATLAB. 50
gboehl/econpizza A framework to solve and simulate nonlinear macroeconomic models with heterogeneous agents using automatic differentiation 78
kentsommer/pytorch-value-iteration-networks A PyTorch implementation of Value Iteration Networks (VINs) for solving gridworld problems. 318
benedekrozemberczki/pdn An implementation of a neural network architecture designed to process graph-structured data 57
fancompute/wavetorch A Python package for solving the wave equation using recurrent neural networks and automatic differentiation. 518
miniufo/xinvert A Python library for numerically solving elliptic partial differential equations using the SOR iteration method. 43
elmercsc/elmerfem A tool for solving complex partial differential equations in various physics domains. 1,205
qpsolvers/qpsolvers A unified Python API for solving convex quadratic programs with various optimization solvers. 601
rafavzqz/geopdes Software package for implementing and testing isogeometric methods for solving partial differential equations 103
meton-robean/spo_bpnn_pid An optimization-based neural network control system using particle swarm optimization for PID control 83
curent/andes A Python toolbox for simulating power system dynamics using symbolic modeling and numerical analysis. 236
sciml/scimlbenchmarks.jl Provides benchmarks for Scientific Machine Learning and equation solvers in multiple programming languages. 319