NickGeneva / blog-codeLinks
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
Sorting:
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- ☆184Updated 4 months ago
- ☆97Updated 3 years ago
- ☆48Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆137Updated 3 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- ☆11Updated 7 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- ☆116Updated 6 years ago
- ☆218Updated 3 years ago
- Transformers for modeling physical systems☆142Updated 2 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆99Updated 5 months ago
- ☆63Updated 6 years ago
- ☆42Updated 2 years ago
- ☆41Updated 7 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆78Updated 2 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆74Updated 3 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated last year
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆177Updated 4 years ago
- ☆21Updated 4 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 6 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 5 years ago
- ☆54Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Spectral Neural Operator☆79Updated last year
- Try to approximate the solution of Fokker-Planck equation☆9Updated last year
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago