Alternatives and similar repositories for diffphycon:

Users that are interested in diffphycon 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
• sjunhongshen / UnifiedPDESolvers
  ☆17Updated 10 months ago
• jhbastek / PhysicsInformedDiffusionModels
  Implementation of Physics-Informed Diffusion Models
  ☆60Updated last month
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆25Updated 3 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
• AI4Science-WestlakeU / flow_guidance
  The official implementation of the paper "On the Guidance of Flow Matching"
  ☆14Updated last month
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆52Updated 9 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆46Updated last month
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆44Updated 9 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
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆24Updated 10 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆58Updated last year
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆130Updated 6 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆31Updated 9 months ago
• LithiumDA / L_inf-PINN
  [NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training
  ☆38Updated 2 years 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
  ☆68Updated 11 months ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆13Updated 7 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆39Updated last year
• L-I-M-I-T / LatentNeuralOperator
  ☆32Updated this week
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆19Updated 3 weeks ago
• BaratiLab / OFormer
  ☆71Updated 6 months ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆14Updated 6 months ago
• AI4Science-WestlakeU / le-pde-uq
  [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…
  ☆15Updated last year
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆42Updated last year
• hanjq17 / SGNN
  [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".
  ☆34Updated 2 years ago
• francoismaze / topodiff
  Code, technical details and links to datasets and trained models for TopoDiff
  ☆38Updated last year
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆36Updated 3 years ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆22Updated last week
• gautica / meshgraphnet_pytorch
  ☆15Updated 2 years ago
• tumaer / neuralsph
  Neural SPH
  ☆28Updated 8 months ago