#Partial-differential-equations
Showing 15 of 15 repositories tagged #partial-differential-equations, ranked by stars
Collection of notebooks about quantitative finance, with interactive python code.
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Python package for solving partial differential equations using finite differences.
A Physics-Informed Neural Network to solve 2D steady-state heat equations.
Python model solving the shallow water equations (linear momentum, nonlinear continuity)
Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
Generative Pre-Trained Physics-Informed Neural Networks Implementation
Python library for numerical integration, interpolation, and differentiation on (molecular) grids.
Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
Implementation of the Deep Ritz method and the Deep Galerkin method
Public repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - ProjectX2020 Competition (UofT AI)
FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries
Notes and examples on how to solve partial differential equations with numerical methods, using Python.