DeepXDE
Lu Lu and contributors
๐ก Pick it for a more specialized and mature workflow for physics-informed neural networks.
DeepXDE is an open-source Python library for scientific machine learning, especially physics-informed and operator-learning models. It is aimed at researchers solving differential...
Pros
- More specialized for physics-informed neural networks than SimulAI
- Supports forward, inverse, fractional, and integro-differential equation problems
- Works with multiple deep-learning backends
Cons
- Narrower outside differential-equation and physics-informed use cases
- Backend configuration can add complexity compared with a single-framework library
- Less suited to general forecasting and business simulation workflows
Free, open source