Alternatives and similar repositories for UnifiedPDESolvers:

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

• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆47Updated 10 months ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆53Updated 10 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆49Updated last month
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆41Updated last year
• nec-research / CAPE-ML4Sci
  ☆13Updated 7 months ago
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆26Updated 4 months ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆23Updated 2 weeks ago
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆69Updated last week
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆59Updated last year
• PredictiveIntelligenceLab / cvit
  ☆29Updated last month
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆17Updated 5 months ago
• continuous-pde / continuous-pde
  ☆13Updated last year
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆44Updated last year
• BaratiLab / OFormer
  ☆72Updated 7 months ago
• thu-ml / GNOT
  ☆70Updated last year
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆20Updated last year
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆39Updated last month
• zhijie-group / Orthogonal-Neural-operator
  Code for orthogonal neural operator
  ☆15Updated last year
• optray / PIANO
  This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…
  ☆11Updated last year
• LouisSerrano / coral
  ☆29Updated 8 months ago
• HaoZhongkai / GNOT
  ☆41Updated last year
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆84Updated 4 months ago
• scaomath / torch-cfd
  Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆30Updated 4 months ago
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆24Updated 11 months ago
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆18Updated 5 months ago
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆52Updated 3 weeks ago
• kaist-silab / graphsplinenets
  [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"
  ☆16Updated 8 months ago
• thuml / HelmFluid
  About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…
  ☆18Updated 9 months ago
• TapasTripura / Wavelet-Neural-Operator-for-pdes
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆26Updated 2 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 9 months ago