Alternatives and similar repositories for LOCA

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

• PredictiveIntelligenceLab / NOMAD
  ☆15Updated last year
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆17Updated last year
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• neuraloperator / cond-diffusion-operators-edm
  ☆17Updated last year
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 2 years ago
• zheyuanhu01 / AugmentedPINN
  Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…
  ☆15Updated 2 years ago
• Zhengyu-Huang / Operator-Learning
  ☆44Updated 2 years ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆17Updated last year
• cselab / LED
  ☆21Updated 2 years ago
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆14Updated 3 years ago
• elizqian / operator-inference
  ☆10Updated 2 years ago
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆39Updated 3 years ago
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆35Updated 3 years ago
• delta-lab-ai / pde-controller
  ☆22Updated 3 months 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 3 years ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆36Updated 6 months ago
• stathius / wave_propagation
  Predicting wave propagation on shallow water with deep neural networks
  ☆22Updated 2 years ago
• SmartTURB / diffusion-lagr
  Synthetic Lagrangian Turbulence by Generative Diffusion Models
  ☆26Updated 10 months ago
• zheyuanhu01 / SDGD_PINN
  Tackling the Curse of Dimensionality with Physics-Informed Neural Networks
  ☆14Updated last year
• 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 6 years ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 7 months ago
• arkadaw9 / PID-GAN
  ☆23Updated 4 years ago
• n-takeishi / phys-vae
  ☆13Updated 3 years ago
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆29Updated 3 years ago
• jaggbow / magnet
  This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
  ☆37Updated 2 years ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆27Updated 2 years ago
• Ali-Stanford / PhysicsInformedPointNetElasticity
  Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…
  ☆10Updated last year
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆31Updated 11 months ago
• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆11Updated last month