Alternatives and similar repositories for PDElearning

Users that are interested in PDElearning are comparing it to the libraries listed below

• pswpswpsw / paper-nif
  ☆40Updated 2 years ago
• NickGeneva / blog-code
  Code and files related to random side projects
  ☆21Updated 4 years ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆71Updated 3 weeks ago
• fernexda / cnm
  ☆19Updated 5 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆50Updated 5 years ago
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆33Updated 2 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• fsahli / EikonalNet
  ☆20Updated 5 years ago
• PhIMaL / DeePyMoD
  ☆50Updated 2 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• PredictiveIntelligenceLab / UQPINNs
  ☆63Updated 6 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆41Updated 2 years ago
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆150Updated 6 years ago
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆36Updated 4 years ago
• cselab / LED
  ☆21Updated 3 years ago
• dbgannon / NNets-and-Diffeqns
  jupyter notebooks for the neural nets and differential equation paper
  ☆28Updated 4 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆37Updated 3 years ago
• GRaynaud / ModalPINN_Python_code
  Publication of Python code used to train ModalPINN
  ☆11Updated 3 years ago
• AmeyaJagtap / Locally-Adaptive-Activation-Functions-Neural-Networks-
  Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…
  ☆43Updated 2 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆38Updated 3 years ago
• Crunch-UQ4MI / neuraluq
  ☆199Updated 9 months ago
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆56Updated 2 years ago
• jcallaham / robust-flow-reconstruction
  Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…
  ☆14Updated 7 years ago
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆62Updated 5 years ago
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 3 years ago
• rodsveiga / PINNs
  Physics Informed Neural Networks
  ☆20Updated 5 years ago
• VincLee8188 / Physics-Informed-Neural-Networks-PyTorch
  Implementation of physics informed neural networks with PyTorch
  ☆20Updated 5 years ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆118Updated 6 years ago
• cics-nd / cnn-surrogate
  Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
  ☆107Updated 5 years ago
• Jianxun-Wang / LabelFree-DNN-Surrogate
  Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
  ☆94Updated 2 years ago