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PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
The Tcl Core. (Mirror of core.tcl-lang.org)
Optimizing JIT compiler built inside CRuby
Multi-Language Platform for Dynamic Programming Languages
Code accompanying my blog post: So, what is a physics-informed neural network?
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
A Physics Informed Neural Network made using PyTorch
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
嵌入式脚本语言 Lightweight embedded scripting language
A toolkit with data-driven pipelines for physics-informed machine learning.
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems