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

pnnl / neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

SciML / NeuralPDE.jl

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

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

PINA-org / PINA

Physics-Informed Neural networks for Advanced modeling

JohnnySun / retro-display-lab

Physics-informed handheld display shaders, target profiles, and reproducible validation for RetroArch.

Flood-Lab / HydroTuring

Does your AI hydrologic model conserve mass, energy and momentum?

krishkhinchi / AeroTwin-AI

AeroTwin AI is a Physics-Informed Digital Twin platform that uses AI and real-time sensor data to monitor turbojet engine health, predict failures, and optimize maintenance.

haoming-luo / agentfem

AI-native open-source finite-element platform connecting engineering, computation, data, and AI.