Using the dynamic mode decomposition to forcast sales from the m5 competition
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Updated
Jan 9, 2024 - Python
Using the dynamic mode decomposition to forcast sales from the m5 competition
Generic Linear Algebra Porting of PyDMD [Ongoing]
For research into the application of Koopman operators at Boston University.
This research work is about Limited Data Acquisition for the real life physical experiment of fluid flow across cylinder based on Kernelized Extended Dynamic Mode Decomposition by incorporating Gaussian Random Matrix Theory and Laplacian Kernel Function Hilbert space.
Java Dynamic Mode Decomposition
Solvers to build tmodel approximation of DMD with incomplete information
Predict stocks using DMD, analyze & backtrack performance with Streamlit GUI. Learn ML for stock prediction & analysis with this GitHub repository
Using data driven numerical methods to perform system identification, model reduction, and design controllers.
Non-intrusive Reduced Order Modeling package
Projects for the UW AMATH 582 Computational Methods For Data Analysis class
This repository stores my personal projects related to data science studies.
Contains code and detailed write ups created while taking a class on Data Driven Modeling & Scientific Computation with Professor Nathan Kutz.
Code for the paper Bilinear Dynamic Mode Decomposition for Quantum Control
Implementation of Online DMD using NumPy
An Incremental Approach to Online Dynamic Mode Decomposition for Time-Varying Systems with Applications to EEG Data Modeling
a little library to help me with things involving Koopman operators
Neural Ordinary Differential Equations for model order reduction of time-dependent PDEs
A short introduction and implementation of the Dynamic Mode Decomposition with applications.
Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from data.
A Python Implementation of Dynamic Mode Decomposition
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