NickGeneva / blog-code
Code and files related to random side projects
☆21Updated 3 years ago
Alternatives and similar repositories for blog-code:
Users that are interested in blog-code are comparing it to the libraries listed below
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- ☆47Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- ☆41Updated 7 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- ☆41Updated 2 years ago
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- Consistent Koopman Autoencoders☆74Updated last year
- ☆41Updated 4 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆69Updated 2 years ago
- ☆29Updated 2 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- ☆14Updated 3 years ago
- A Python package to learn the Koopman operator.☆55Updated 5 months ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆18Updated 6 months ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Updated 2 years ago
- ☆28Updated 6 years ago
- Pseudospectral Kolmogorov Flow Solver☆38Updated last year
- mathLab mirror of Python Dynamic Mode Decomposition☆87Updated last month
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆36Updated last year
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆32Updated last month
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- ☆92Updated 3 years ago
- ☆177Updated 3 weeks ago
- A library for dimensionality reduction on spatial-temporal PDE☆65Updated last year
- ☆56Updated last year