Alternatives and similar repositories for MM-PDE:

Users that are interested in MM-PDE are comparing it to the libraries listed below

• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆32Updated 10 months ago
• L-I-M-I-T / LatentNeuralOperator
  ☆32Updated this week
• AI4Science-WestlakeU / flow_guidance
  The official implementation of the paper "On the Guidance of Flow Matching"
  ☆14Updated last month
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆58Updated last year
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆25Updated 3 months ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆38Updated last year
• lim0606 / ddo
  Official codebase for "Score-based Diffusion Models in Function Space"
  ☆9Updated 2 months ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆24Updated last year
• neuraloperator / DSNO
  ☆24Updated last year
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆14Updated 6 months ago
• tumaer / neuralsph
  Neural SPH
  ☆28Updated 8 months ago
• congliuUvA / Clifford-Group-Equivariant-Simplicial-Message-Passing-Networks
  The implementation of the paper: Clifford Group Equivariant Simplicial Message Passing Networks @ ICLR2024
  ☆10Updated 9 months ago
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆18Updated 4 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆46Updated last month
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆39Updated last year
• HrishikeshVish / GIOROM
  Main repo for GIOROM
  ☆9Updated 2 weeks ago
• peterchencyc / CROM_online_deployment
  ☆14Updated 2 years ago
• thu-ml / NUNO
  [ICML 2023] Non-Uniform Neural Operator (NUNO)
  ☆22Updated last year
• open-sciencelab / Intern-WingWing
  [NeurIPS 2024] AFBench: A Large-scale Benchmark for Airfoil Design
  ☆22Updated 5 months ago
• WooJin-Cho / Parameterized-Physics-informed-Neural-Networks
  ☆26Updated 3 months ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆52Updated 9 months ago
• mesh-adaptation / UM2N
  [NeurIPS 2024 Spotlight] Towards Universal Mesh Movement Networks
  ☆15Updated last week
• gnobitab / ConstrainedDiffusionBridge
  ☆12Updated 2 years ago
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆39Updated last year
• PingchuanMa / SGA
  [ICML 2024] LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
  ☆66Updated 9 months ago
• wanjiaZhao1203 / TREAT
  [NeurIPS 2024] Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
  ☆22Updated 5 months ago
• zhijie-group / Orthogonal-Neural-operator
  Code for orthogonal neural operator
  ☆14Updated last year
• LouisSerrano / coral
  ☆27Updated 8 months ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆35Updated 5 months ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆44Updated 9 months ago