Alternatives and similar repositories for finn

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

• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆41Updated 2 years ago
• pswpswpsw / paper-nif
  ☆39Updated 2 years ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 9 months ago
• Rose-STL-Lab / Turbulent-Flow-Net
  Turbulent flow network source code
  ☆71Updated 8 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
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆39Updated 3 years ago
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated 2 years ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆70Updated last year
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆40Updated 8 months ago
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆36Updated 3 weeks 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
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆53Updated last year
• nickmcgreivy / WeakBaselinesMLPDE
  ☆28Updated last year
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 2 years ago
• 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 10 months ago
• PredictiveIntelligenceLab / LOCA
  ☆15Updated 2 years ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆30Updated 3 weeks ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆35Updated last year
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• cselab / LED
  ☆21Updated 2 years ago
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆28Updated 2 years ago
• camlab-ethz / GAOT
  [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains
  ☆66Updated last month
• csccm-iitd / VB-DeepONet
  ☆12Updated 3 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆47Updated 8 months ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 5 years ago
• Edward-Sun / TSM-PDE
  Code of ICML paper arxiv.org/abs/2302.08105
  ☆14Updated 2 years ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆20Updated last month