Alternatives and similar repositories for trajectory-alignment-diffusion

Users that are interested in trajectory-alignment-diffusion 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…
  ☆36Updated last year
• locuslab / get
  Generative Equilibrium Transformer
  ☆23Updated last year
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆26Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆38Updated 10 months ago
• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆27Updated 6 months ago
• DoronHav / WassersteinFlowMatching
  ☆29Updated 3 weeks ago
• yuexihang / HPM
  Code for Point-Calibrated Spectral Neural Operators
  ☆20Updated 10 months ago
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆77Updated last year
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆47Updated 2 months ago
• AI4Science-WestlakeU / flow_guidance
  [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"
  ☆49Updated 3 weeks ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆52Updated 2 years ago
• francoismaze / topodiff
  Code, technical details and links to datasets and trained models for TopoDiff
  ☆44Updated last year
• neuraloperator / DSNO
  ☆29Updated 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
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆100Updated last week
• iamalexkorotin / KernelNeuralOptimalTransport
  PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
  ☆25Updated last year
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆71Updated 2 years ago
• GavinKerrigan / functional_diffusion
  ☆26Updated 2 years ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 4 years ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆27Updated last year
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆74Updated 2 years ago
• tumaer / neuralsph
  Neural SPH
  ☆34Updated 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
• Peiyannn / MM-PDE
  [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers
  ☆17Updated last year
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆61Updated 3 years ago
• FlyingGiraffe / dhn
  Denoising Hamiltonian Network for Physical Reasoning
  ☆37Updated 5 months ago
• gnobitab / ConstrainedDiffusionBridge
  ☆13Updated 2 years ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆15Updated last year
• clbonet / Spherical_Sliced-Wasserstein
  Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"
  ☆13Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year