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deepxde

A library for scientific machine learning and physics-informed learning

anypinn

🤖 A modular and flexible solution to build Physics-Informed Neural Networks (PINNs) for any mathematical problem.

pina-mathlab

Physics-Informed Neural networks for Advanced modeling

neurodiffeq

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

pinnx

Physics-Informed Neural Networks for Scientific Machine Learning in JAX

parametrix

🪄 Flax-like computed parameters for bare JAX (and Equinox)

reactor-twin

Physics-constrained Neural DEs for chemical reactor digital twins

fast-poisson-solver

A fast solver for the Poisson equation.

fastvpinns

A fast tensor-driven variational physics-informed neural network library for solving PDEs.

kbeta-pinn3d

3‑D steady heat-conduction PINN workload that showcases Kourkoutas-β optimizer on a complex mixed‑boundary problem.

kbeta

An optimizer with a reptilian attitude

frontx

⚛️ Nonlinear diffusion problems with JAX