Python Dynamic Mode Decomposition
-
Updated
Jun 1, 2025 - Python
Python Dynamic Mode Decomposition
Data-Driven Astrology 💫 Kerykeion is a Python library for astrology. It generates SVG charts and extracts detailed structured data for birth charts, synastry, transits, composite charts, and more.
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
pyMOR - Model Order Reduction with Python
Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.
A Python toolbox for quantitative, reproducible flow cytometry analysis
SIEGMA - Transform Sigma rules into SIEM consumables
Framework for Data-Driven Design & Analysis of Structures & Materials (F3DASM)
Tensor Train Toolbox
A unified framework for machine learning collective variables for enhanced sampling simulations
ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.
Python library that implements DeePC: Data-Enabled Predictive Control
FlowNet - Data-Driven Reservoir Predictions
moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
Data-driven approach for AUV navigation
⚡ Instantly turn your python function into web app.
Learning Missing Doppler Velocity Log Beam Measurements
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.
Koopman Kernels for Learning Dynamical Systems from Trajectory Data
[RA-L/ICRA2020] Real-time Soft Body 3D Proprioception via Deep Vision-based Sensing
Add a description, image, and links to the data-driven topic page so that developers can more easily learn about it.
To associate your repository with the data-driven topic, visit your repo's landing page and select "manage topics."