Topic: pdes Goto Github
Some thing interesting about pdes
Some thing interesting about pdes
pdes,Basic finite difference methods applied in parabolic, elliptic and hyperbolic PDEs
User: abhiyanpaudel
pdes,Deep learning approaches to PDEs
User: aecelaya
pdes,A collection of scripts for math visualization
User: bambooflower
pdes,Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
Organization: camlab-ethz
Home Page: https://camlab-ethz.github.io/poseidon/
pdes,Mathematical examples from many areas, including population growth, epidemiology, cell biology, and traffic modeling. The models take the form of ordinary differential equations (ODEs), difference (recurrence) equations, and partial differential equations (PDEs).
User: cchenli
pdes,Spatiotemporal mathematical model of Cdc42-mediated cell polarisation consisting of a coupled system of reaction diffusion equations
User: cvijoviclab
pdes,Differential equation solving in Python and C/C++
User: ethank5149
pdes,Modelling the phenomenon of "Ecological Suicide", for a final year Master's project in Engineering Mathematics.
User: felciabatta
pdes,Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.
Organization: fourierflows
Home Page: https://fourierflows.github.io/GeophysicalFlowsDocumentation/stable/
pdes,Robin-type Domain Decomposition
User: freya-feng
pdes,Finite-element toolbox in Julia
User: fverdugo
pdes,A package to quickly check your calculations from any quantum mechanics class
User: giordanogaudio
pdes,
User: giorgosr
Home Page: https://giorag.bitbucket.io/pylsewave/pyw_doc.html
pdes,Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and providing an API similar to MATLAB's pdepe
User: gregoirepourtier
Home Page: https://gregoirepourtier.github.io/SkeelBerzins.jl/
pdes,Grid-based approximation of partial differential equations in Julia
Organization: gridap
pdes,A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms and non-conservative components.
User: haranjackson
pdes,Neuromorphic event-driven simulator in C and MPI (successor of NeMo https://github.com/markplagge/NeMo)
User: helq
pdes,Scalable Markov chain Monte Carlo Sampling Methods for Large-scale Bayesian Inverse Problems Governed by PDEs
Organization: hippylib
Home Page: https://hippylib2muq.readthedocs.io
pdes,A solution, written in C, to the heat equation using Crank-Nicholson and finite differences.
User: iwhoppock
pdes,Five-point stencil Convolutional Neural Networks (FCNNs)
User: kimy-de
pdes,Physics-informed neural networks (PINNs)
User: kimy-de
pdes,Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
User: levimcclenny
Home Page: https://arxiv.org/abs/2009.04544
pdes,Materials for for SIF3012 Computational Physics course. This course is designed for Physics students taking Computational Physics course. Some materials need to be guided through lectures series (provided in Spectrum and class)
User: lizayusof
pdes,Finite ring matrix algebra benchmark models for ROSS.
Organization: llnl
pdes,pseudospectral (fourier) solutions of a few 1-dimensional PDEs
User: markmbaum
pdes,An easy-to-use, Python library designed to approximate solutions to partial differential equations using primarily, finite difference methods.
User: matthewm8m
pdes,Modelling of chromatograpy with Python
User: maxen97
pdes,This repository contains code and documentation for solving the cardiac electrophysiology problem using Finite Element methods. It includes implementations in deal.II, mesh generation with gmsh, and visualization using ParaView.
User: melaniasala
pdes,Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl
Organization: mhdflows
pdes,Julia code to fit mechanistic-statistical models w/ Bayes and MCMC
User: oliviergimenez
Home Page: https://oliviergimenez.github.io/mecastat-in-julia/
pdes,Deep-learning model for optimised proper orthogonal decomposition of non-linear, hyperbolic, parametric PDEs based on a pre-processing method of the full-order solutions
User: papadeiv
Home Page: https://www.sciencedirect.com/science/article/pii/S004578252200069X?dgcid=coauthor
pdes,A Parallel Discrete Event Simulation Engine with Examples
User: poshtkohi
Home Page: http://poshtkohi.info/research-overview.pdf
pdes,PSML: parallel system modeling and simulation language for electronic system level
User: poshtkohi
Home Page: https://doi.org/10.1007/s11227-018-2682-1
pdes,Simian Process Oriented Conservative JIT PDES from LANL
User: pujyam
Home Page: https://pujyam.github.io/simian/
pdes,Rensselaer's Optimistic Simulation System
Organization: ross-org
Home Page: http://ross-org.github.io
pdes,Solving the Laplace Equation numerically using Finite Difference Method
User: sbhhdp
pdes,A Stochastic Primal-Dual Proximal Splitting Method for Risk-Averse Optimal Control of PDEs
User: sebastianangerhausen
Home Page: https://doi.org/10.5281/zenodo.6570740
pdes,Generative Pre-Trained Physics-Informed Neural Networks Implementation
User: skoohy
pdes,Spatial bio-chemical reaction model editor and simulator
Organization: spatial-model-editor
Home Page: https://spatial-model-editor.github.io
pdes,Exercise solutions of the course : Introduction to Computational Physics offered at ETH Zurich
User: sthavishtha
pdes,Finite difference scheme for 1D advection diffusion equation with periodic BCs
User: truong-pham-dang
pdes,Partial Differential Equations (PDEs) and its application in Image Restoration
User: v18nguye
pdes,This repository contains my thesis work on the control of RBC using symmetry exploiting deep reinforcement learning
User: vikaschidananda
pdes,NRPy+, BlackHoles@Home, SENRv2, and the NRPy+ Jupyter Tutorial: Python-Based Code Generation for Numerical Relativity... and Beyond!
User: zachetienne
Home Page: https://blackholesathome.net
pdes,Python package for solving partial differential equations using finite differences.
Organization: zwicker-group
Home Page: https://py-pde.readthedocs.io
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.