Alternatives and similar repositories for cod-bench

Users that are interested in cod-bench are comparing it to the libraries listed below

• WeihengZ / Physics-informed-Neural-Foundation-Operator
  Papers and codes of Physics-informed Deep Compositional Operator Network
  ☆12Updated 2 weeks ago
• gaoliyao / sindy-shred
  Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.
  ☆34Updated this week
• tum-pbs / unrolling
  ☆17Updated 10 months ago
• merantix-momentum / gnn-bvp-solver
  Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"
  ☆20Updated last year
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 8 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆47Updated 8 months ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆29Updated 5 months ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 3 years ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆75Updated 6 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆99Updated 11 months ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆40Updated 8 months ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆70Updated last year
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆88Updated last week
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 2 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• mroberto166 / nio
  ☆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 this week
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆23Updated 2 years ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆49Updated 2 years ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆28Updated last year
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆53Updated last year
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆69Updated 5 months ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆30Updated last week
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆159Updated 7 months ago
• slimgroup / dfno
  Distributed Fourier Neural Operators
  ☆30Updated 3 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆103Updated 4 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