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
• blindedjoy / RcTorch
  a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
  ☆45Updated 2 years ago
• Crunch-UQ4MI / neuraluq
  ☆195Updated 7 months ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆145Updated 2 years ago
• NickGeneva / blog-code
  Code and files related to random side projects
  ☆21Updated 3 years ago
• ashesh6810 / RCESN_spatio_temporal
  Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN
  ☆44Updated 5 years ago
• PhIMaL / DeePyMoD
  ☆49Updated last year
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆37Updated 2 years ago
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆106Updated 7 months ago
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆19Updated 4 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆143Updated 3 years ago
• kpchamp / SindyAutoencoders
  ☆373Updated 4 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• BethanyL / DeepKoopman
  neural networks to learn Koopman eigenfunctions
  ☆439Updated last year
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆31Updated 3 years ago
• mroberto166 / nio
  ☆37Updated 2 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆105Updated last week
• a-tierz / AMB_TINNs_tutorial
  ☆14Updated last year
• 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
• DurstewitzLab / ChaosRNN
  ☆21Updated 2 years ago
• xgxgnpu / My-awesome-PINN-papers
  ☆34Updated 3 years ago
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆161Updated last year
• PredictiveIntelligenceLab / PINNsNTK
  ☆99Updated 4 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 4 years ago
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆35Updated 3 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• Pongpisit-Thanasutives / Multi-task-Physics-informed-neural-networks
  Multi-task physics-informed neural networks
  ☆25Updated 3 years ago
• Koopman-Laboratory / KoopmanLab
  A library for Koopman Neural Operator with Pytorch.
  ☆308Updated last year