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A library for scientific machine learning and physics-informed learning
deep-learning neural-network tensorflow pytorch operator pde paddle pinn jax scientific-machine-learning multi-fidelity-data physics-informed-learning deeponet
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
computer-algebra optimization julia ode symbolic dde differential-equations ordinary-differential-equations sde pde dae stochastic-differential-equations delay-differential-equations symbolic-computation nonlinear-programming equation-based scientific-machine-learning sciml symbolic-numerics acausal
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
machine-learning neural-network ode neural-networks partial-differential-equations differential-equations ordinary-differential-equations differentialequations pde pinn scientific-machine-learning neural-differential-equations scientific-ml scientific-ai sciml
Physics-Informed Neural networks for Advanced modeling
python machine-learning deep-learning modeling pytorch ode neural-networks differential-equations pde hacktoberfest pinn physics-informed pytorch-lightning physics-informed-neural-networks torch-geometric neural-operators equation-learning lightining
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
python r julia ode dde partial-differential-equations differential-equations ordinary-differential-equations differentialequations sde pde dae stochastic-differential-equations hacktoberfest neural-ode scientific-machine-learning neural-differential-equations sciml
Python package for numerical derivatives and partial differential equations in any number of dimensions.
scientific-computing derivative partial-differential-equations finite-difference numerical-methods finite-differences pde finite-difference-coefficients
FEATool Multiphysics - "Physics Simulation Made Easy" (Fully Integrated FEA, FEniCS, OpenFOAM, SU2 Solver GUI & Engineering CAE Simulation Platform)
engineering gui simulation geometry matlab solver toolbox fem cfd openfoam physics-simulation finite-element-analysis pde multiphysics fenics cae gmsh su2 cad-modeling featool-multiphysics-toolbox
Perfect for developers seeking a single, unified environment for web development, backend systems, mobile apps, and competitive programming.
lua neovim custom lazy nvim lazy-loading pde neovim-configuration neovim-lua neovim-config neovim-setup nvim-setup nvim-settings nvim-configs nvim-configuration nvim-lua nvim-config nvchad lazyvim lazyvim-setup
IDE for creating and running Processing sketches on Android devices
A Julia package to perform Bifurcation Analysis
gpu continuation pde bifurcation bifurcation-diagram floquet pseudo-arclength-continuation periodic-orbits deflation hopf-point newton-krylov codim2
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
ode dde partial-differential-equations differential-equations ordinary-differential-equations differentialequations sde pde dae stochastic-differential-equations delay-differential-equations hacktoberfest differential-algebraic-equations neural-ode scientific-machine-learning neural-differential-equations sciml
PRISMS-PF: An Open-Source Phase-Field Modeling Framework
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
python benchmark ai julia matlab pytorch ode partial-differential-equations differential-equations differentialequations sde pde dae jax neural-ode scientific-machine-learning nerual-differential-equations sciml ai-for-science
Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-) hydrodynamics simulation code for massively parallel CPU and GPU architectures.
castro reactions gravity astrophysics amr cfd pde hydrodynamics radiation astrophysical-simulation adaptive-mesh-refinement amrex
A framework for hydrodynamics explorations and prototyping
python simulation solver finite-volume pde hydrodynamics multigrid pyro advection finite-volume-methods astrophysical-simulation
TCAD Semiconductor Device Simulator
python c-plus-plus semiconductor-physics finite-volume pde semiconductor devsim tcad tcad-device-simulator
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
deep-learning julia automatic-differentiation operator partial-differential-equations differential-equations pde fourier-transform gnn scientific-machine-learning deeponet fourier-neural-operator
This repository containts materials for End-to-End AI for Science
machine-learning ai deep-learning hpc artificial-intelligence weather-forecast navier-stokes pde pinn modulus physics-informed-neural-networks ai4hpc omniverse fourcastnet
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
julia partial-differential-equations differential-equations fdm differentialequations sde pde stochastic-differential-equations matrix-free finite-difference-method neural-ode scientific-machine-learning neural-differential-equations sciml
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