Alternatives and similar repositories for pydym

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

• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆60Updated 8 years ago
• aaren / sparse_dmd
  sparse dynamic mode decomposition in python
  ☆37Updated 9 years ago
• n-takeishi / bayesiandmd
  Bayesian Dynamic Mode Decomposition (Bayesian DMD)
  ☆18Updated 3 years ago
• PhIMaL / DeePyMoD_tensorflow
  This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…
  ☆24Updated 5 years ago
• cwrowley / dmdtools
  A library of tools for computing variants of Dynamic Mode Decomposition
  ☆49Updated 8 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆30Updated 3 years ago
• luckystarufo / MrCAE
  a multiresolution convolutional autoencoder architecture
  ☆22Updated 4 years ago
• sisl / deep_flow_control
  Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018
  ☆49Updated 6 years ago
• ZichaoLong / aTEAM
  A pyTorch Extension for Applied Mathematics
  ☆40Updated 5 years ago
• panchgonzalez / nmor
  Deep learning framework for model reduction of dynamical systems
  ☆21Updated 4 years ago
• fernexda / cnm
  ☆19Updated 4 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆26Updated 3 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• oxfordcontrol / OMD
  A Matlab package for computing the optimal mode decomposition (OMD) or dynamic mode decomposition (DMD).
  ☆15Updated 8 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• timudk / SPDENN
  A Discussion on Solving Partial Differential Equations using Neural Networks
  ☆66Updated 6 years ago
• TharinduMiyanawala / CNNforCFD
  This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.
  ☆36Updated 6 years ago
• alb3rtjarvis / numbacs
  Python package which takes advantage of Numba to efficiently implement a variety of coherent structure methods and analyze time-dependent…
  ☆24Updated 3 weeks ago
• maziarraissi / DeepTurbulence
  Deep Learning of Turbulent Scalar Mixing
  ☆17Updated 6 years ago
• onnoeberhard / langtangen
  My notes on and solutions to the book "A Primer on Scientific Programming with Python" by Hans Petter Langtangen.
  ☆22Updated 7 years ago
• maziarraissi / ParametricGP-in-Matlab
  Parametric Gaussian Process Regression for Big Data (Matlab Version)
  ☆24Updated 7 years ago
• DonsetPG / fenics-DRL
  Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.
  ☆66Updated 4 years ago
• amkatrutsa / DeepPDE
  Deep Learning application to the partial differential equations
  ☆30Updated 7 years ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆72Updated last year
• Romit-Maulik / PyParSVD
  An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py
  ☆64Updated 4 years ago
• GRaynaud / ModalPINN_Python_code
  Publication of Python code used to train ModalPINN
  ☆11Updated 3 years ago
• pikarpov-LANL / Sapsan
  ML-based turbulence modeling for astrophysics
  ☆14Updated 2 years ago
• gdportwood / Turb_ML_Papers
  A collection of relevant literature related to advancement of machine learning techniques for turbulence modeling and analysis
  ☆17Updated 5 years ago
• erichson / optht
  Optimal Hard Threshold for Matrix Denoising
  ☆39Updated 4 years ago