Alternatives and similar repositories for nn-benchmark:

Users that are interested in nn-benchmark are comparing it to the libraries listed below

• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆36Updated 3 years ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆50Updated 10 months ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆35Updated 2 years ago
• peterchencyc / CROM_online_deployment
  ☆14Updated 2 years ago
• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆32Updated 4 years ago
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆70Updated 9 months ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆59Updated last month
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆38Updated last year
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆62Updated 2 months ago
• dc3042 / CROM_offline_training
  ☆22Updated 2 years ago
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆21Updated last year
• amkatrutsa / dmg
  Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
  ☆18Updated 5 years ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆53Updated 3 years ago
• tum-pbs / SIP
  Scale-invariant Learning by Physics Inversion (NeurIPS 2022)
  ☆10Updated 2 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆26Updated last year
• JAX-DIPS / JAX-DIPS
  JAX-DIPS is a differentiable interfacial PDE solver.
  ☆41Updated 6 months ago
• tum-pbs / half-inverse-gradients
  Source code for the ICLR'22 paper on "Half-Inverse Gradients"
  ☆18Updated 2 years ago
• fireshape / fireshape
  A shape optimisation toolbox built on the Firedrake finite element library.
  ☆28Updated this week
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆24Updated last year
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆75Updated 2 weeks ago
• pswpswpsw / paper-nif
  ☆35Updated last year
• ASK-Berkeley / Neural-Spectral-Methods
  [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
  ☆37Updated last year
• neuraloperator / DiffusionOperators
  ☆13Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆56Updated last year
• optray / MCNP
  This repository contains the code for the paper: Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation (IEEE T…
  ☆17Updated this week
• computational-imaging / GraphPDE
  ☆48Updated 2 years ago
• Edward-Sun / TSM-PDE
  Code of ICML paper arxiv.org/abs/2302.08105
  ☆14Updated last year
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated 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…
  ☆60Updated 4 months ago