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
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- ☆14Updated 3 years ago
- ☆39Updated 2 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆20Updated 2 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆28Updated 3 years ago
- ☆10Updated 3 months ago
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year
- ☆41Updated 4 years ago
- ☆62Updated 5 years ago
- Practicum on Supervised Learning in Function Spaces☆32Updated 3 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- ☆41Updated 7 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆25Updated 3 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆64Updated 11 months ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- A Python package to learn the Koopman operator.☆54Updated 4 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆58Updated 7 months ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆55Updated 4 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 3 years ago
- ☆91Updated 3 years ago
- ☆29Updated 2 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- ☆27Updated 6 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆39Updated 2 years ago