Alternatives and similar repositories for NeurIPS2024-ML4CFD-competition-Starting-Kit

Users that are interested in NeurIPS2024-ML4CFD-competition-Starting-Kit are comparing it to the libraries listed below

• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆41Updated 6 months ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆35Updated 5 months 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
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆36Updated 2 months ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 2 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆46Updated 5 months ago
• Extrality / airfrans_lib
  The AirfRANS dataset makes available numerical resolutions of the incompressible Reynolds-Averaged Navier–Stokes (RANS) equations over th…
  ☆18Updated 7 months 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 6 years ago
• anthonyzhou-1 / ldm_pdes
  ☆32Updated last month
• camlab-ethz / rigno
  Graph-based operator learning in arbitrary geometries
  ☆25Updated 5 months ago
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆29Updated 10 months ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆15Updated last year
• Extrality / AirfRANS
  In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…
  ☆56Updated 7 months ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• PredictiveIntelligenceLab / LOCA
  ☆15Updated last year
• ncsa / GeomDeepONet
  A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…
  ☆20Updated last year
• woodssss / TL-PI-DeepONet
  ☆10Updated 2 years ago
• cmudrc / MegaFlow2D
  The MegaFlow2D dataset package
  ☆23Updated last year
• julesberman / CoLoRA
  ☆12Updated last year
• 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
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆71Updated last year
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆93Updated 8 months ago
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆54Updated 3 months ago
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆29Updated 2 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆40Updated last year
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆25Updated 9 months ago
• camlab-ethz / GenCFD
  Code for the paper "Generative AI for fast and accurate statistical computation of fluids"
  ☆36Updated last month
• WooJin-Cho / Parameterized-Physics-informed-Neural-Networks
  ☆26Updated 8 months ago
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago