partial-differential-equations

Collection of notebooks about quantitative finance, with interactive python code.

Learning in infinite dimension with neural operators.

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Next generation FEniCS problem solving environment for solving finite element problems

FreeFEM source code

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Grid-based approximation of partial differential equations in Julia

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

FiPy is a Finite Volume PDE solver written in Python

Julia package for function approximation

Python package for numerical derivatives and partial differential equations in any number of dimensions.