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111 search results found
Processing
⭐
6,295
Source code for the Processing Core and Development Environment (PDE)
Differentialequations.jl
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2,689
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Deepxde
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2,135
A library for scientific machine learning and physics-informed learning
Neuraloperator
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1,773
Learning in infinite dimension with neural operators.
Modelingtoolkit.jl
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1,292
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
Neuralpde.jl
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864
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Scimltutorials.jl
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698
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Gridap.jl
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618
Grid-based approximation of partial differential equations in Julia
Scikit Fem
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407
Simple finite element assemblers
Findiff
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361
Python package for numerical derivatives and partial differential equations in any number of dimensions.
Py Pde
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353
Python package for solving partial differential equations using finite differences.
Apde
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287
Source code for APDE: Create and run Processing sketches on an Android device.
Pyro2
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286
A framework for hydrodynamics explorations and prototyping
Diffeqbase.jl
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282
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Scimlbenchmarks.jl
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279
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Diffeqoperators.jl
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279
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Bifurcationkit.jl
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275
A Julia package to perform Bifurcation Analysis
Featool Multiphysics
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272
FEATool - "Physics Simulation Made Easy" (Fully Integrated FEA, FEniCS, OpenFOAM, SU2 Solver GUI & Multi-Physics Simulation Platform)
Castro
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267
Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-) hydrodynamics simulation code for massively parallel CPU and GPU architectures.
Neuraloperators.jl
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206
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Pina
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195
Physics-Informed Neural networks for Advanced modeling
Nvim Config
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189
Generalized and Personalized
Bout Dev
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158
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems
Geophysicalflows.jl
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148
Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.
Devsim
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148
TCAD Semiconductor Device Simulator
Pyclaw
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145
PyClaw is a Python-based interface to the algorithms of Clawpack and SharpClaw. It also contains the PetClaw package, which adds parallelism through PETSc.
Methodoflines.jl
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144
Automatic Finite Difference PDE solving with Julia SciML
Dotfiles
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140
🗿 dotfilery, configuration, environment settings, automation, etc. 🛖
Processing.r
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125
R Language Mode in Processing for Creative Coding, created by @gaocegege, maintained by @jeremydouglass
Kinetic.jl
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110
Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
Imscript
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107
a collection of small and standalone utilities for image processing, written in C
Hydro_examples
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106
Simple one-dimensional examples of various hydrodynamics techniques
Tutorials
⭐
105
Start solving PDEs in Julia with Gridap.jl
Course 101 0250 00
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101
ETH course - Solving PDEs in parallel on GPUs
Jaxdf
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99
A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
Econpdes.jl
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93
Solve forward-looking PDEs (e.g. HJB equations).
Nvim
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93
neovim lua cfg
Nrpytutorial
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87
NRPy+, BlackHoles@Home, SENRv2, and the NRPy+ Jupyter Tutorial: Python-Based Code Generation for Numerical Relativity... and Beyond!
Fenics.jl
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86
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
Pelelm
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79
An adaptive mesh hydrodynamics simulation code for low Mach number reacting flows
Dotfiles
⭐
77
🍙 my Personalized Development Environment [PDE]
Ross
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75
Rensselaer's Optimistic Simulation System
Fractionaldiffeq.jl
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70
Solve Fractional Differential Equations using high performance numerical methods
Highdimpde.jl
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61
A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
Taylordiff.jl
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58
Taylor-mode automatic differentiation for higher-order derivatives
Pyfvm
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57
Finite volume discretization tools for Python.
Sgpp
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55
SG⁺⁺ – the numerical library for Sparse Grids in all their variants.
Rom Operator Inference Python3
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54
Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
Convolutionalneuraloperator
⭐
52
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
Flowvpm.jl
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47
Meshless large eddy simulation through the reformulated vortex particle method
Nif
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41
A library for dimensionality reduction on spatial-temporal PDE
Finite Element Networks
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40
Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022
Jfvm.jl
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37
A simple finite volume tool for Julia
Wobtoolbox
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37
Author's implementation of SIGGRAPH 2023 paper, "A Practical Walk-on-Boundary Method for Boundary Value Problems"
Dino
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36
Time- and space-continuous neural PDE forecaster based on INRs and ODEs
Incompressiblenavierstokes.jl
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35
Incompressible Navier-Stokes solver
Awesome Graph Pde
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34
Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation
Felupe
⭐
34
🔍 finite element analysis for continuum mechanics of solid bodies
Maths_julia
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34
Julia codes for various mathematics topics
Maestro
⭐
30
A low Mach number stellar hydrodynamics code
Percnn
⭐
29
Encoding physics to learn reaction-diffusion processes
Galerkinsparsegrids.jl
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29
Sparse Grid Discretization with the Discontinuous Galerkin Method for solving PDEs
Rodin
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28
Modern C++17 finite element method and shape optimization framework.
Magnet
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25
This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
Bosss
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25
BoSSS is a flexible framework for the development, evaluation & application of numerical discretization schemes based on the Discontinuous Galerkin method
Cprocessing
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23
Processing C++ Edition
Gpt Pinn
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22
Generative Pre-Trained Physics-Informed Neural Networks Implementation
Mole
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22
Mimetic Operators Library Enhanced
Betterterm.nvim
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22
The best terminal you could have (well for me it is), is very similar to that of VScode.
Futureye_jit
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21
FuturEye_JIT is a Java Finite Element Method (FEM) library for solving PDE based forward/inverse problems as efficient as hand written FORTRAN code.
Curve Shortening Demo
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20
Visualize curve shortening flow in your browser.
Fluxreconstruction.jl
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20
flux reconstruction method for advection-diffusion type physics
Mhdflows.jl
⭐
20
Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl
Das
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20
DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations
Gplasdi
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19
Afepack
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18
Adaptive Finite Element Package
Numpde Notes
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17
Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs
Sa Pinns
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17
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
Le_pde
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16
LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracy
Mpihaloarrays.jl
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15
An array type for MPI halo data exchange in Julia
Pyfrap
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14
PyFRAP: A Python based FRAP analysis tool box
Sympde
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14
Symbolic calculus for partial differential equations (and variational forms)
Spatial Model Editor
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14
Spatial bio-chemical reaction model editor and simulator
Skeelberzins.jl
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13
Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and using an API similar to MATLAB's pdepe
Spindoctor.jl
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13
Diffusion MRI Simulation Toolbox in Julia
Pde Estimation
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12
Pytorch code for learning an underlying PDE from given data.
Pde Vae Pytorch
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11
PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
Mole
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11
The Mimetic Operators Library Enhanced
Adapode.jl
⭐
10
Adaptive P/ODE numerical solvers with Grassmann element TensorField assembly
Mfm Dev
⭐
10
MFM community development code
Leibniz
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10
Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch
Hr Weno
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9
A Fortran implementation of high-resolution WENO schemes for hyperbolic conservation equations
Qtt Laplace
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9
A library for solving an elliptic differential equation in 2D using Quantized Tensor Train (QTT) decomposition.
Symder
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8
SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
Virtualelementmethods
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8
A Python implementation of the paper "The virtual element method in 50 lines of MATLAB" by Oliver J. Sutton
Green
⭐
8
A gaming library that enables easy 2D game creation within Processing.
Deterministicparticleflowcontrol
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8
Repository for Deterministic Particle Flow Control framework
Physics Driven Ml
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8
Physics-driven machine learning using PyTorch and Firedrake
Spatial Sbml
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7
libraries & tools for spatial simulation of SBML models
Dgm
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7
Solving High Dimensional Partial Differential Equations with Deep Neural Networks
1-100 of 111 search results
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