Alternatives and similar repositories for Dynamic-Adaptation-Network

Users that are interested in Dynamic-Adaptation-Network are comparing it to the libraries listed below

• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆35Updated last year
• neuraloperator / markov_neural_operator
  ☆39Updated last month
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 4 years ago
• yakovlev31 / graphpdes_experiments
  ☆35Updated 4 years ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆41Updated last year
• jaggbow / magnet
  This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
  ☆37Updated 2 years ago
• tum-pbs / dgn4cfd
  Official implementation of Diffusion Graph Networks (DGNs)
  ☆70Updated 7 months ago
• computational-imaging / GraphPDE
  ☆53Updated 3 years ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
  ☆74Updated last year
• tum-pbs / Diffusion-based-Flow-Prediction
  Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…
  ☆80Updated 11 months ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 3 years ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆16Updated last year
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆59Updated 8 months ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆67Updated 9 months ago
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆139Updated 3 months ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆48Updated 2 years ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆52Updated last year
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆31Updated last year
• atzberg / geo_neural_op
  Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…
  ☆31Updated 2 months ago
• delta-lab-ai / pde-controller
  ☆23Updated 4 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆46Updated 7 months ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 8 months ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated last year
• yellowshippo / penn-neurips2022
  PENN code for NeurIPS 2022
  ☆42Updated 2 years ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆30Updated last year
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆67Updated last year
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated 2 years ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆53Updated 2 years ago
• AI4Science-WestlakeU / wdno
  [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆47Updated last month