Alternatives and similar repositories for PhysicsInformedDiffusionModels:

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

• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆47Updated 7 months ago
• AI4Science-WestlakeU / diffphycon
  [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
  ☆29Updated last week
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆20Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆30Updated 9 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆80Updated last month
• tum-pbs / Diffusion-based-Flow-Prediction
  Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…
  ☆59Updated 2 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆28Updated 6 months ago
• sjunhongshen / UnifiedPDESolvers
  ☆15Updated 7 months ago
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆54Updated 2 months ago
• BaratiLab / OFormer
  ☆63Updated 4 months ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆12Updated 3 months ago
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆24Updated last month
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆39Updated last week
• nec-research / CAPE-ML4Sci
  ☆10Updated 4 months ago
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆22Updated 3 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆16Updated 4 months ago
• stnamjef / SPINN
  Source code for Separable PINN
  ☆64Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆55Updated last year
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆39Updated 7 months ago
• LouisSerrano / coral
  ☆27Updated 5 months ago
• ASK-Berkeley / Neural-Spectral-Methods
  [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
  ☆36Updated 11 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆44Updated last month
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆12Updated 5 months ago
• scaomath / torch-cfd
  Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆23Updated last month
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆15Updated 2 months ago
• HaoZhongkai / GNOT
  ☆34Updated last year
• thu-ml / NUNO
  [ICML 2023] Non-Uniform Neural Operator (NUNO)
  ☆21Updated last year
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆55Updated 5 months ago
• PredictiveIntelligenceLab / cvit
  ☆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…
  ☆23Updated 11 months ago