Alternatives and similar repositories for kuramoto-sivashinsky

Users that are interested in kuramoto-sivashinsky are comparing it to the libraries listed below

• pvlachas / RNN-RC-Chaos
  RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…
  ☆96Updated 2 years ago
• pvlachas / RNN-Lyapunov-Spectrum
  A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
  ☆47Updated last year
• Crunch-UQ4MI / neuraluq
  ☆197Updated 7 months ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆145Updated 4 years ago
• NickGeneva / blog-code
  Code and files related to random side projects
  ☆21Updated 3 years ago
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆37Updated 2 years ago
• ashesh6810 / RCESN_spatio_temporal
  Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN
  ☆44Updated 5 years ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆145Updated 2 years ago
• BethanyL / DeepKoopman
  neural networks to learn Koopman eigenfunctions
  ☆446Updated last year
• PhIMaL / DeePyMoD
  ☆49Updated 2 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆31Updated 3 years ago
• kpchamp / SindyAutoencoders
  ☆374Updated 4 years ago
• snagcliffs / PDE-FIND
  ☆269Updated 3 years ago
• FrancescoRegazzoni / LDNets
  ☆58Updated last year
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆109Updated 8 months ago
• blindedjoy / RcTorch
  a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
  ☆46Updated 2 years ago
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆120Updated last year
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆36Updated 3 years ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆162Updated 2 years ago
• Koopman-Laboratory / KoopmanLab
  A library for Koopman Neural Operator with Pytorch.
  ☆309Updated last year
• PredictiveIntelligenceLab / CausalPINNs
  ☆180Updated last year
• gaoliyao / sindy-shred
  Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.
  ☆34Updated this week
• a-tierz / AMB_TINNs_tutorial
  ☆14Updated last year
• DurstewitzLab / ChaosRNN
  ☆20Updated 2 years ago
• jdppthk / parallelized-reservoir-computing
  This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…
  ☆38Updated 5 years ago
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆19Updated 4 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆229Updated 4 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆103Updated 4 years ago
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆161Updated last year