A python implementation of Maximum Variance Unfolding using CVXPY, Numpy, Scipy, and SK-Learn.
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Updated
Nov 15, 2018 - Python
A python implementation of Maximum Variance Unfolding using CVXPY, Numpy, Scipy, and SK-Learn.
Just a Sample Desktop App Using Avalonia.FuncUI
Parameter testing, derivation, and implementation of applying Maximum Variance Unfolding on toy teapot dataset.
Make C# apps following the MVU pattern.
Todo app build in react based on this blog post https://thomasbandt.com/react-global-state-management
This is an efficient F# reimplementation of the digital circuit drawing library used in ISSIE (see Readme).
This is a small demo that explores different approaches for creating a potentially scalable single page application.
Simple approach for using MVU in Flutter
Implementation of composable reducer architecture in Haskell
A sample application on MVU architecture (4-layered)
Swift implementation of the elm architecture (TEA)
MVU for Kotlin Multiplatform
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