dfloryan / neural-manifold-dynamicsLinks
Reduced-order modelling using an atlas of charts
☆27Updated 2 years ago
Alternatives and similar repositories for neural-manifold-dynamics
Users that are interested in neural-manifold-dynamics are comparing it to the libraries listed below
Sorting:
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 2 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 6 years ago
- ☆19Updated 4 years ago
- ☆49Updated last year
- A library for dimensionality reduction on spatial-temporal PDE☆67Updated last year
- PySensors is a Python package for sparse sensor placement☆100Updated last month
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated last year
- Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.☆31Updated 3 weeks ago
- ☆39Updated 2 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- ☆19Updated 4 years ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆37Updated 2 years ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆92Updated last week
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆19Updated 6 years ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆57Updated 3 years ago
- Optimal Hard Threshold for Matrix Denoising☆39Updated 4 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆76Updated 3 years ago
- ☆34Updated last year
- ☆21Updated 2 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago
- Tutorial for the course Nonlinear Dynamical Systems - Part 3☆11Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Code and files related to random side projects☆21Updated 3 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆39Updated last year
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆81Updated 3 weeks ago
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated last month
- Data-driven modeling of chaotic systems in the form of SDEs and nonlinear observation maps☆19Updated 5 years ago