Alternatives and similar repositories for DSA

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

• merantix-momentum / gnn-bvp-solver
  Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"
  ☆19Updated last year
• karlotness / nn-benchmark
  An extensible benchmark suite to evaluate data-driven physical simulation
  ☆31Updated 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…
  ☆69Updated last year
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 4 years ago
• pswpswpsw / paper-nif
  ☆39Updated 2 years ago
• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆35Updated 5 years ago
• dc3042 / CROM_offline_training
  ☆24Updated 2 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆39Updated 3 years ago
• tum-pbs / half-inverse-gradients
  Source code for the ICLR'22 paper on "Half-Inverse Gradients"
  ☆19Updated 3 years ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆66Updated 11 months 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
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• tum-pbs / StableBPTT
  The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"
  ☆11Updated last year
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆70Updated 2 years ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆75Updated last month
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆81Updated 7 months ago
• peterchencyc / CROM_online_deployment
  ☆15Updated 2 years ago
• computational-imaging / GraphPDE
  ☆55Updated 3 years ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆19Updated last year
• SmartTURB / diffusion-lagr
  Synthetic Lagrangian Turbulence by Generative Diffusion Models
  ☆26Updated last year
• nlesc-dirac / pytorch
  Improved LBFGS and LBFGS-B optimizers in PyTorch.
  ☆65Updated last year
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated 2 years ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
  ☆75Updated last year
• neuraloperator / cond-diffusion-operators-edm
  ☆18Updated last year
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆275Updated 3 years ago
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆33Updated 2 years ago
• PredictiveIntelligenceLab / LOCA
  ☆15Updated 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…
  ☆29Updated last year
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 3 years ago
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆90Updated last month