Alternatives and similar repositories for trajectory-alignment-diffusion

Users that are interested in trajectory-alignment-diffusion are comparing it to the libraries listed below

• francoismaze / topodiff
  Code, technical details and links to datasets and trained models for TopoDiff
  ☆41Updated last year
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆40Updated last year
• AI4Science-WestlakeU / flow_guidance
  [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"
  ☆17Updated this week
• 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.
  ☆34Updated last month
• AI4Science-WestlakeU / M2PDE
  [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.
  ☆17Updated 3 weeks ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 3 years ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 11 months ago
• GavinKerrigan / functional_diffusion
  ☆24Updated 2 years ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆25Updated 2 years ago
• peterchencyc / CROM_online_deployment
  ☆14Updated 2 years ago
• dc3042 / CROM_offline_training
  ☆23Updated 2 years ago
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆53Updated 3 weeks ago
• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆33Updated 5 years ago
• tumaer / neuralsph
  Neural SPH
  ☆31Updated 11 months ago
• tum-pbs / Diffusion-based-Flow-Prediction
  Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…
  ☆65Updated 7 months ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆14Updated 10 months ago
• FlyingGiraffe / dhn
  Denoising Hamiltonian Network for Physical Reasoning
  ☆32Updated 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…
  ☆26Updated last year
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆26Updated last year
• s-sahoo / MuLAN
  [NeurIPS 2024, spotlight] Multivariate Learned Adaptive Noise for Diffusion Models
  ☆20Updated 5 months ago
• neuraloperator / DiffusionOperators
  ☆13Updated last year
• L-I-M-I-T / LatentNeuralOperator
  ☆35Updated 2 months ago
• lamm-mit / LeafGAN
  ☆10Updated last year
• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆23Updated 3 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆65Updated last year
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆69Updated last year
• computational-imaging / GraphPDE
  ☆51Updated 2 years ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆56Updated 11 months ago
• zheyuanhu01 / AugmentedPINN
  Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…
  ☆15Updated last year