Alternatives and similar repositories for HPM

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

• yuexihang / DeltaPhi
  Implementation for "DeltaPhi: Learning Physical Trajectory Residual for PDE Solving"
  ☆13Updated last year
• georgosgeorgos / trajectory-alignment-diffusion
  Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023
  ☆22Updated 2 years ago
• PingchuanMa / SGA
  [ICML 2024] LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
  ☆79Updated last year
• HrishikeshVish / GIOROM
  Main repo for GIOROM
  ☆17Updated 2 weeks ago
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆47Updated last year
• 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
• peterchencyc / CROM_online_deployment
  ☆15Updated 2 years ago
• Peiyannn / MM-PDE
  [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers
  ☆17Updated last year
• google-deepmind / inverse_design
  ☆24Updated last year
• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆35Updated 5 years ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆27Updated 2 years ago
• mesh-adaptation / UM2N
  [NeurIPS 2024 Spotlight] Towards Universal Mesh Movement Networks
  ☆19Updated 2 months ago
• ftbabi / TIE_ECCV2022
  ☆31Updated 3 years ago
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆36Updated last week
• vdorbs / spherical-generative-modeling
  ☆16Updated 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
• dc3042 / CROM_offline_training
  ☆24Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆38Updated 11 months ago
• tumaer / neuralsph
  Neural SPH
  ☆37Updated last year
• luckystarufo / SIREN_out_of_sample_tests
  A quick test of SIREN on out-of-sample tasks
  ☆13Updated 5 years ago
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆27Updated 11 months ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆57Updated last year
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆101Updated this week
• scaomath / galerkin-transformer
  [NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
  ☆251Updated last year
• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆28Updated 7 months ago
• locuslab / deq-ddim
  ☆63Updated 2 years ago
• neuraloperator / DSNO
  ☆31Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
  ☆74Updated last year
• lim0606 / ddo
  Official codebase for "Score-based Diffusion Models in Function Space"
  ☆13Updated 8 months ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆52Updated 2 years ago