Stars
Deep-learning framework for Engineering AI. Built on transformer building blocks, it delivers the full engineering stack, allowing teams to build, train, and operate industrial simulation models ac…
Pinneaple is an open-source Physics AI toolkit for Physics-Informed Neural Networks (PINNs), scientific ML, geometry processing, solvers, and reproducible training pipelines.
pyGeo provides geometric design variables and constraints suitable for gradient-based optimization.
NASA's aircraft analysis, design, and optimization tool
FAST-OAD: An open source framework for rapid Overall Aircraft Design
A library for scientific machine learning and physics-informed learning
Supplementary material for "Interpolation-Based Immersed Finite Element Analysis", using FEniCS.
Multi-physics Optimization Research and Innovation System
A differentiable PDE solving framework for machine learning
Pet project to get acquainted with Rust, and mess around with symbolic expressions.
Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations
Convex Polyhedral Meshing for Robust Solid Modeling
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
open source software for bidimensional and tridimensional remeshing
Multiphysics Object Oriented Simulation Environment
A robust cut-cell mesh generator for arbitrary triangle-mesh inputs