Differentialequations.jlMulti-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
DeepFlowPytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
ar-pde-cnnPhysics-constrained auto-regressive convolutional neural networks for dynamical PDEs
DeepPDEDeep Learning application to the partial differential equations
DECAGTDiscretizations of Exterior Calculus for Analysis, Geometry and Topology
MLJC-UniTo-ProjectX-2020-publicPublic repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - ProjectX2020 Competition (UofT AI)
shallow-waterPython model solving the shallow water equations (linear momentum, nonlinear continuity)
SciMLBenchmarks.jlBenchmarks for scientific machine learning (SciML) software and differential equation solvers
pystellaA code generator for grid-based PDE solving on CPUs and GPUs
cmna-pkgComputational Methods for Numerical Analysis
uflUFL - Unified Form Language
pydensPyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
QuantPDEA high-performance, open-source, header-only C++(>=11) library for pricing derivatives.
numericslibrary of numerical methods using Armadillo
MASAMethod of Manufactured Solutions Repository