Alternatives and similar repositories for HAL-Physics-Informed-AI-Tutorial:

Users that are interested in HAL-Physics-Informed-AI-Tutorial are comparing it to the libraries listed below

• 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
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆63Updated last year
• akaptano / POD-Galerkin_MHD
  This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…
  ☆18Updated 3 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆14Updated 3 years ago
• elizqian / operator-inference
  ☆10Updated last year
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆63Updated 10 months ago
• PredictiveIntelligenceLab / LOCA
  ☆13Updated last year
• pswpswpsw / paper-nif
  ☆35Updated last year
• zabaras / inn-surrogate
  Solving inverse problems using conditional invertible neural networks.
  ☆33Updated 3 years ago
• bsciolla / gaussian-random-fields
  Generator of 2D gaussian random fields
  ☆50Updated 2 years ago
• kimy-de / pinns
  Physics-informed neural networks (PINNs)
  ☆11Updated 2 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆35Updated 2 years ago
• merantix-momentum / gnn-bvp-solver
  Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"
  ☆20Updated 6 months ago
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆17Updated last year
• arkadaw9 / PID-GAN
  ☆21Updated 3 years ago
• VincLee8188 / Physics-Informed-Neural-Networks-PyTorch
  Implementation of physics informed neural networks with PyTorch
  ☆20Updated 4 years ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆25Updated 2 years ago
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆15Updated 4 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆37Updated last year
• amkatrutsa / dmg
  Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
  ☆18Updated 5 years ago
• mroberto166 / nio
  ☆30Updated last year
• danielgreenfeld3 / Learning-to-optimize-multigrid-solvers
  ☆14Updated 5 years ago
• LLNL / GPLaSDI
  ☆33Updated last month
• sheadan / DeepGreen
  DeepGreen network written in Tensorflow 2
  ☆30Updated 3 years ago
• neuraloperator / bootcamp
  Bootcamp notebooks
  ☆51Updated 9 months ago
• ethan-pickering / dnosearch
  Active learning of extreme events using deep neural operators.
  ☆14Updated 2 years ago
• pkmtum / Semi-supervised_Invertible_Neural_Operators
  Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
  ☆13Updated 8 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 3 months ago
• soumyasen1809 / Coursera_Computers_Waves_Simulations
  Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
  ☆13Updated 5 years ago