FEniCS / dolfinx
Next generation FEniCS problem solving environment for solving finite element problems
FEniCS / dolfinx
SciML / OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
cantaro86 / Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
neuraloperator / neuraloperator
Learning in infinite dimension with neural operators.
SciML / DifferentialEquations.jl
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.
SciML / SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
cpmech / gosl
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
SciML / ModelingToolkit.jl
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
brian-team / brian2
Brian is a free, open source simulator for spiking neural networks.
SciML / NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
mpmath / mpmath
Python library for arbitrary-precision floating-point arithmetic
FreeFem / FreeFem-sources
FreeFEM source code
SciML / DiffEqFlux.jl
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
gridap / Gridap.jl
Grid-based approximation of partial differential equations in Julia
PINA-org / PINA
Physics-Informed Neural networks for Advanced modeling
simpeg / simpeg
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
usnistgov / fipy
FiPy is a Finite Volume PDE solver written in Python
SciML / diffeqpy
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
JuliaApproximation / ApproxFun.jl
Julia package for function approximation
SciML / Catalyst.jl
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
ECLIPSE-AI4Science / gradsolve
Differentiable ensemble solvers for differential equations on GPUs, in JAX