Alternatives and similar repositories for CL_DiffPhyCon

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

• AI4Science-WestlakeU / diffphycon
  [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
  ☆39Updated 2 months ago
• AI4Science-WestlakeU / t_scend
  This repo is the code for T-SCEND, a novel framework that significantly improves diffusion model’s reasoning capabilities with better ene…
  ☆23Updated 2 months ago
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆32Updated last year
• AI4Science-WestlakeU / wdno
  [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆30Updated 3 weeks ago
• AI4Science-WestlakeU / flow_guidance
  [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"
  ☆16Updated last week
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆25Updated last year
• hanjq17 / SGNN
  [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".
  ☆35Updated 2 years ago
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆26Updated 5 months ago
• sjunhongshen / UnifiedPDESolvers
  ☆21Updated 11 months ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆49Updated 11 months ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆55Updated 11 months ago
• jhbastek / PhysicsInformedDiffusionModels
  Implementation of Physics-Informed Diffusion Models
  ☆76Updated 2 months ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆39Updated last year
• tumaer / neuralsph
  Neural SPH
  ☆30Updated 10 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆51Updated 2 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆65Updated last year
• wu375 / simple-physics-simulator-pytorch-geometry
  Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate
  ☆52Updated 3 years ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆22Updated 2 months ago
• zhijie-group / Orthogonal-Neural-operator
  Code for orthogonal neural operator
  ☆15Updated last year
• LouisSerrano / coral
  ☆31Updated 9 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 10 months ago
• Eydcao / BSMS-GNN
  ☆54Updated 9 months ago
• AI4Science-WestlakeU / research_toolbox
  A useful toolbox for research.
  ☆11Updated 10 months ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆25Updated last month
• Peiyannn / MM-PDE
  [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers
  ☆17Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆18Updated 6 months ago
• LouisSerrano / aroma
  ☆17Updated 6 months ago
• BaratiLab / OFormer
  ☆77Updated 8 months ago
• lukebhan / PDEControlGym
  This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.
  ☆26Updated last week
• lim0606 / ddo
  Official codebase for "Score-based Diffusion Models in Function Space"
  ☆12Updated 3 months ago