johnnardini / Learning-DE-models-from-stochastic-ABMsLinks
Code for "Learning differential equation models from\\ stochastic agent-based model simulations" by John Nardini, Ruth Baker, Mat Simpson, and Kevin Flores
☆12Updated 3 years ago
Alternatives and similar repositories for Learning-DE-models-from-stochastic-ABMs
Users that are interested in Learning-DE-models-from-stochastic-ABMs are comparing it to the libraries listed below
Sorting:
- ☆36Updated 3 years ago
- ☆21Updated 4 years ago
- ☆30Updated 7 years ago
- Biologically-informed neural networks☆29Updated 4 years ago
- ☆368Updated 3 years ago
- implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.i…☆30Updated 7 years ago
- Algorithm for Revealing Network Interactions (ARNI) from nonlinear collective dynamics☆28Updated 7 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆25Updated 7 years ago
- ☆258Updated 2 years ago
- Code and files related to random side projects☆21Updated 3 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆152Updated 4 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆178Updated 4 years ago
- neural networks to learn Koopman eigenfunctions☆426Updated last year
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆57Updated 4 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆64Updated 5 years ago
- ☆205Updated last year
- Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.☆30Updated last week
- ☆189Updated 5 months ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆116Updated last year
- mathLab mirror of Python Dynamic Mode Decomposition☆104Updated 6 months ago
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆39Updated last year
- ME 539 - Introduction to Scientific Machine Learning☆122Updated last week
- ☆12Updated 2 years ago
- A package for the sparse identification of nonlinear dynamical systems from data☆11Updated 5 years ago
- Systems biology: Identifiability analysis and parameter identification via systems-biology-informed neural networks☆34Updated 5 months ago
- Physics-informed learning of governing equations from scarce data☆150Updated 2 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics☆123Updated last year
- Discovers high dimensional models from 1D data using deep delay autoencoders☆37Updated 2 years ago