Code and files related to random side projects
☆21Jan 12, 2022Updated 4 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:
- Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…☆31Sep 12, 2024Updated last year
- A Python toolbox for Bayesian inference and generative sampling, implementing triangular transport maps from samples.☆12Feb 9, 2026Updated 2 weeks ago
- Quantification of Uncertainties in Neural Networks☆11Updated this week
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Oct 23, 2018Updated 7 years ago
- Deep learning assisted dynamic mode decomposition☆19Oct 5, 2021Updated 4 years ago
- A Python package to learn the Koopman operator.☆70Feb 6, 2026Updated 3 weeks ago
- Koopman Mode Decomposition☆74Jul 19, 2017Updated 8 years ago
- A package for computing data-driven approximations to the Koopman operator.☆409Jan 22, 2026Updated last month
- Transformers for modeling physical systems☆148Aug 4, 2023Updated 2 years ago
- Official repo of the Biomeccanica Multiscala course (prof. Marco A. Deriu) - Master Degree in Biomedical engineering, Politecnico di Tori…☆12Jan 2, 2025Updated last year
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Example simulations using OpenFAST and the NREL 5MW land-based turbine☆13Mar 23, 2023Updated 2 years ago
- neural networks to learn Koopman eigenfunctions☆470Mar 22, 2024Updated last year
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆35Apr 2, 2021Updated 4 years ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 3 years ago
- Coarse-grained simulations of biomolecular complexes☆13Aug 2, 2023Updated 2 years ago
- k-Epsilon Turbulence Model modified with injection of k and epsilon at actuator disk to match recovery of a real wind turbine☆10Apr 25, 2015Updated 10 years ago
- A library to perform targeted free energy perturbation with normalizing flows.☆10Sep 1, 2025Updated 5 months ago
- Coarse grain to atomistic molecular coordinate and topology converter☆17Mar 13, 2025Updated 11 months ago
- ☆11Jun 24, 2015Updated 10 years ago
- R Package for Spatial Conformal Prediction☆10Aug 6, 2022Updated 3 years ago
- Pre-processing Approaches for Imbalanced Distributions in Regression☆12Feb 21, 2021Updated 5 years ago
- MD-ligand-receptor is a bioinformatics pipeline written in Python for analyzing non-covalent ligand-receptor interactions in 3D structure…☆10Jun 18, 2023Updated 2 years ago
- Implementation of the Slow Feature Analysis algorithm for unsupervised learning☆12Jul 25, 2022Updated 3 years ago
- Fast OOP MATLAB® implementation of Extreme Learning Machines for both regression and binary classification problems.☆13Apr 17, 2016Updated 9 years ago
- Helper function for Markov State Models☆11Jun 25, 2024Updated last year
- Example files for Colvars module: https://github.com/Colvars/colvars☆13Dec 7, 2021Updated 4 years ago
- DiffNet: A FEM based neural PDE solver package☆12Apr 9, 2024Updated last year
- A Flow-based Variational Autoencoder for Molecule Generation☆10Feb 21, 2022Updated 4 years ago
- Reactive MD pipeline for GROMACS using Kinetic Monte Carlo / Molecular Dynamics (KIMMDY)☆14Jan 2, 2026Updated last month
- Code for CDC2022 submission☆11Sep 1, 2025Updated 5 months ago
- Tutorials on doing AMBER based Metadynamics and Gaussian Accelerated MD (GaMD)☆11Dec 1, 2025Updated 3 months ago
- COSMO: COarse-grained Simulation of intrinsically disordered prOteins with openMM☆15Feb 8, 2026Updated 2 weeks ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Jul 3, 2019Updated 6 years ago
- Tutorial using PLANTS (Protein-Ligand ANTSystem)☆13Jul 27, 2024Updated last year
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Dec 19, 2025Updated 2 months ago
- the open source SU2 mesh format parser and visualizer☆10Dec 12, 2025Updated 2 months ago
- ☆10Jul 16, 2021Updated 4 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆120Sep 24, 2025Updated 5 months ago