Alternatives and similar repositories for pigans-material-ID:

Users that are interested in pigans-material-ID are comparing it to the libraries listed below

• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆64Updated 11 months ago
• nasa / MXMCPy
  ☆15Updated 8 months ago
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆114Updated 3 years ago
• rmojgani / PhysicsAwareAE
  The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…
  ☆19Updated 2 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…
  ☆39Updated 2 years ago
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆17Updated last year
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆69Updated last year
• stefaniafresca / DL-ROM
  Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.
  ☆15Updated last year
• cics-nd / ar-pde-cnn
  Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
  ☆92Updated 2 years ago
• juansensio / nangs
  Solving PDEs with NNs
  ☆52Updated 2 years ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆53Updated 2 years ago
• dbgannon / NNets-and-Diffeqns
  jupyter notebooks for the neural nets and differential equation paper
  ☆28Updated 3 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆41Updated 4 years ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆65Updated last year
• PredictiveIntelligenceLab / PINNsNTK
  ☆92Updated 3 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆37Updated last year
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆26Updated 2 years ago
• pswpswpsw / paper-nif
  ☆35Updated last year
• ZichaoLong / aTEAM
  A pyTorch Extension for Applied Mathematics
  ☆39Updated 5 years ago
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆32Updated last year
• LLNL / GPLaSDI
  ☆33Updated 3 months ago
• tum-pbs / Diffusion-based-Flow-Prediction
  Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…
  ☆60Updated 4 months ago
• stefaniafresca / POD-DL-ROM
  Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…
  ☆29Updated last year
• weipengOO98 / rang_pinn
  Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks
  ☆14Updated 2 years ago
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆26Updated last year
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆126Updated 3 years ago
• paulpuren / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆31Updated 3 years ago
• soanagno / rba-pinns
  Original implementation of fast PINN optimization with RBA weights
  ☆49Updated 5 months ago
• mroberto166 / nio
  ☆31Updated last year
• stefaniafresca / DL-ROM-Meth
  Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…
  ☆24Updated last year