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The Wayback Machine - https://web.archive.org/web/20200726074822/https://github.com/topics/partial-differential-equations
#
partial-differential-equations
Here are
130 public repositories
matching this topic...
Collection of notebooks about quantitative finance, with interactive python code.
Updated
Jul 10, 2020
Jupyter Notebook
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
Updated
Jul 19, 2020
Julia
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Updated
Jul 26, 2020
Julia
Julia package for function approximation
Updated
May 23, 2020
Julia
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Updated
Jul 22, 2020
Python
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Updated
Jul 25, 2020
HTML
PDE-Net: Learning PDEs from Data
18.S096 - Applications of Scientific Machine Learning
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks. Work in progress.
Python package for finite difference numerical derivatives and partial differential equations in any number of dimensions.
Updated
Jul 10, 2020
Python
Next generation FEniCS problem solving environment
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Updated
Jul 26, 2020
Julia
Deep BSDE solver in TensorFlow
Updated
Dec 22, 2019
Python
Discretization tools for finite volume and inverse problems.
Updated
Jul 25, 2020
Python
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Updated
Jul 19, 2020
Julia
Grid-based approximation of partial differential equations in Julia
Updated
Jul 24, 2020
Julia
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Updated
Jun 1, 2020
Jupyter Notebook
Benchmarks for scientific machine learning (SciML) software and differential equation solvers
Updated
Jul 25, 2020
HTML
Finite Element tools in Julia
Updated
Jul 17, 2020
Julia
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Updated
Jul 26, 2020
Julia
A multiphysics framework with robust mesh generation capabilities
Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains
Updated
Jul 26, 2020
Julia
Python model solving the shallow water equations (linear momentum, nonlinear continuity)
Updated
Dec 21, 2019
Python
Next generation FEniCS Form Compiler
Updated
Jul 24, 2020
Python
Method of Manufactured Solutions Repository
A high-performance, open-source, C++ library for pricing derivatives.
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
Updated
Jul 13, 2020
Julia
TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
Updated
Sep 20, 2019
Mathematica
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