Alternatives and similar repositories for pyshred

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

• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆37Updated 2 years ago
• gaoliyao / sindy-shred
  Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.
  ☆35Updated 2 months ago
• Crunch-UQ4MI / neuraluq
  ☆199Updated 9 months ago
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆113Updated 10 months ago
• NickGeneva / blog-code
  Code and files related to random side projects
  ☆21Updated 4 years ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆168Updated 9 months ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆71Updated 3 weeks ago
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆204Updated last month
• kpchamp / SindyAutoencoders
  ☆379Updated 4 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆238Updated 4 years ago
• PredictiveIntelligenceLab / jaxpi
  ☆398Updated 2 months ago
• CTF-for-Science / ctf4science
  Welcome to the CTF for Science Framework, a modular and extensible platform designed for benchmarking modeling methods on dynamic systems…
  ☆35Updated last week
• camlab-ethz / AI_Science_Engineering
  This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.
  ☆323Updated 8 months ago
• neuraloperator / bootcamp
  Bootcamp notebooks
  ☆62Updated 5 months ago
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆162Updated last year
• abelsr / Fourier-Neural-Operator
  Implementation of Fourier Neural Operator using PyTorch
  ☆27Updated 2 months ago
• mroberto166 / CAMLab-DLSCTutorials
  ☆213Updated last year
• mroberto166 / nio
  ☆41Updated 2 years ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆167Updated 2 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆508Updated last month
• PredictiveIntelligenceLab / CausalPINNs
  ☆197Updated last year
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆147Updated 4 years ago
• YaoGroup / MultistageNN
  Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"
  ☆50Updated last year
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆144Updated 3 years ago
• geelenr / quad_manifold
  Supporting codes for the numerical implementations in the paper "Operator inference for non-intrusive model reduction with quadratic mani…
  ☆11Updated 3 years ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆102Updated last year
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆95Updated 2 months ago
• pdearena / pdearena
  ☆284Updated last year
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆41Updated 2 years ago
• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆404Updated last year