324 skills found · Page 1 of 11
SciML / DifferentialEquations.jlMulti-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.
patrick-kidger / DiffraxNumerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
SciML / NeuralPDE.jlPhysics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
NeuroDiffGym / NeurodiffeqA library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
SciML / SciMLTutorials.jlTutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
llnl / SundialsOfficial development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.
SciML / OrdinaryDiffEq.jlHigh performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
SciML / DiffeqpySolving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
benmoseley / FBPINNsSolve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
patrick-kidger / TorchcdeDifferentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
zwicker-group / Py PdePython package for solving partial differential equations using finite differences.
headmyshoulder / Odeint V2odeint - solving ordinary differential equations in c++ v2
SciML / SciMLBenchmarks.jlScientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
SciML / StochasticDiffEq.jlSolvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
analysiscenter / PydensPyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
JuliaPDE / SurveyofPDEPackagesSurvey of the packages of the Julia ecosystem for solving partial differential equations
jacobjinkelly / Easy Neural OdeCode for the paper "Learning Differential Equations that are Easy to Solve"
rohan-sawhney / ZombieGrid-Free Monte Carlo Solvers for Partial Differential Equations
titu1994 / TfdiffeqTensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
FourierFlows / FourierFlows.jlTools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains
