Checkout jinns v1.6.0

jinns is a Python package for physics-informed neural networks (PINNs) we develop together with Hugo Gangloff as a basis for our research. Using the JAX ecosystem, it provides an intuitive and flexible interface for

• forward problem: learning a PDE solution.
• inverse problem: learning the parameters of a PDE.
• meta-modeling: learning a family of PDE indexed by its parameters.

Check out the documentation: https://mia_jinns.gitlab.io/jinns/

Want to use or contribute ? Development happens on Gitlab