paulpuren

paulpuren's Stars

• state-spaces/s4

  Structured state space sequence models

  Language:Jupyter Notebook2.4k52135293

• aleximmer/Laplace

  Laplace approximations for Deep Learning.

  Language:Python4681014672

• Raocp/PINN-laminar-flow

  Physics-informed neural network for solving fluid dynamics problems

  Language:Python1867550

• isds-neu/PhyCRNet

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

  Language:Python11852035

• Raocp/PINN-elastodynamics

  physics-informed neural network for elastodynamics problem

  Language:Python1187738

• Raocp/PeRCNN

  Physics-encoded recurrent convolutional neural network

  Language:Python40227

• erichson/SuperBench

  Language:Jupyter Notebook35228

• paulpuren/PhySR

  Physics-informed deep super-resolution of spatiotemporal data

  Language:Python32204

• isds-neu/PiSL

  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.

  Language:Python22415

• paulpuren/PhyCRNet

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

  Language:Python21125

• Raocp/3D-ConvNeuralNet-material-property-prediction

  This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction

  Language:Python20209

• andyfangzheng/PiSL

  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery

  Language:Python8211

• bondrob/AE_GMS

  Code supporting: An unsupervised machine learning approach for ground‐motion spectra clustering and selection. Earthquake Engng Struct Dyn. 2023;00:1‐19. https://doi.org/10.1002/eqe.4062

  110

• khegazy/learnable_wavelets

  Language:Python1