wwangdg

wwangdg's Stars

• hsbhc/AMAW-PINN

  Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting

  Language:Python176

• zhouzhouwen/An-improved-PINNs-with-the-adaptive-weight-sampling-and-DE-algorithm

  An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based adaptive sampling, which automatically samples points in areas with larger residuals; adaptive loss weights, which balance the loss terms effectively; and the utilization of the DE optimization algorithm

  Language:Python82

• cliang1453/SAGE

  No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)

  Language:Python292

• lululxvi/deepxde

  A library for scientific machine learning and physics-informed learning

  Language:Python2.6k741

• NVIDIA/modulus

  Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

  Language:Python942220

• isds-neu/PhyCRNet

  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

  Language:Python11835

• idrl-lab/PINNpapers

  Must-read Papers on Physics-Informed Neural Networks.

  Language:Python859151

• maziarraissi/PINNs

  Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

  Language:Python3.7k1.3k

• Shengfeng233/PINN-for-turbulence

  A pytorch implementation of several approaches using PINN to slove turbulent flow

  Language:Python547

• Raocp/PINN-laminar-flow

  Physics-informed neural network for solving fluid dynamics problems

  Language:Python18149

• ikespand/awesome-machine-learning-fluid-mechanics

  Curated list for ML in FM

  17846

• Shengfeng233/PINN-for-NS-equation

  A pytorch implementaion of physics informed neural networks for two dimensional NS equation

  Language:Python959

• OFDataCommittee/OFMLHackathon

  OpenFOAM and Machine Learning Hackathon

  Language:C++6329

• AndreWeiner/machine-learning-applied-to-cfd

  Examples of how to use machine learning algorithms in computational fluid dynamics.

  Language:Jupyter Notebook23986

• AndreWeiner/phd_openfoam

  OpenFOAM utilities and solvers related to my PhD

  Language:C++3310

• AndreWeiner/ml-cfd-lecture

  Lecture material for machine learning applied to computational fluid mechanics

  Language:Jupyter Notebook316111

• OFDataCommittee/mlfoam

  Thoughts about ML committee for OpenFOAM

  348

• CrayLabs/SmartSim

  SmartSim Infrastructure Library.

  Language:Python23036