physics-informed-neural-networks topic
FBPINNs
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
GPT-PINN
Generative Pre-Trained Physics-Informed Neural Networks Implementation
End-to-End-AI-for-Science
This repository containts materials for End-to-End AI for Science
MathEpiDeepLearning
Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sourc...
OFMLHackathon
OpenFOAM and Machine Learning Hackathon
simulai
A toolkit with data-driven pipelines for physics-informed machine learning.
LPINNs
To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion...
pinns-torch
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
MS-HPC-AI-GPU
resources pour le cours d'introduction à la programmation des GPUs du mastère spécialisé HPC-AI