SciANN

Physics-informed neural networks

Deep learning library for solving PDEs

Open-source framework for building physics-ML models at scale (renamed from Modulus, 2025)

PyTorch-based differentiable programming framework for physics-informed system identification, parametric constrained optimization, and model predictive control, integrating neural operators, neural ODEs, KANs, SINDy, and differentiable predictive control with 30+ tutorials (1.3k+ stars, BSD License)

Physics-informed neural networks in Julia

Physics-informed ML and SciML