Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations
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Updated
Aug 22, 2019 - Python
Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations
Page object model with selenium+java+testng
Highway Driving (project 7 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
PILOTS (ProgrammIng Language for spatiO-Temporal data Streaming applications)
Repository with MIMO data-driven modeling algorithms
MySql data gathering with Qt data management and Grafana data analysis
Python-based object-oriented discrete-event simulation tool for complex, data-driven modeling
Matlab implementation of online and window dynamic mode decomposition algorithms
Step-by-step construction of the Naive Bayes classification model.
These are a few frameworks using Apache POI for Selenium in Java, linking data from Microsoft Excel.
PDE-Net: Learning PDEs from Data
a little library to help me with things involving Koopman operators
Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
Web-Map + Database - Global Storm Surge Reconstructions (GSSR)
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" by S. A. McQuarrie, C. Huang, and K. E. Willcox.
The project deals with determining and predicting the type of accident taking place in the city of Austin. The data would help in understanding what possible factors are leading to the accidents based on the severity of the incident that has occurred.
Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.
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