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    fun main() {
        println("Hello world")
    }

My App

Fun Printer - Dream app for mini portable printers

Fun Printer - tiny cat print Downloads


Khai Tam - free buddhism scripture reading app

Lo-Fi Music - Chill Lofi Radio Downloads


Lo-Fi Music - lo-fi music player app

This app was announce in the Koin homepage (so proud for me)

Lo-Fi Music - Chill Lofi Radio Downloads

Phuc YNWA's Projects

android-architecture icon android-architecture

A collection of samples to discuss and showcase different architectural tools and patterns for Android apps.

android-showcase icon android-showcase

💎 Android application following best practices: Kotlin, Coroutines, JetPack, Clean Architecture, Feature Modules, Tests, MVVM, DI, Static Analysis...

androidcountrypicker icon androidcountrypicker

Android Country Picker is a Kotlin-first, flexible and powerful Android library that allows to integrate Country Picker with just a few lines.

awesome-kotlin icon awesome-kotlin

A curated list of awesome Kotlin related stuff Inspired by awesome-java.

block-this icon block-this

Block This - FREE DNS based Ad Blocker for Android

bouquet icon bouquet

PDF reader Android library based on Jetpack Compose

caincamera icon caincamera

CainCamera is an Android Project to learn about development of beauty camera, image and short video

cardio icon cardio

CardIO is a library for data science research of heart signals

compose-jb icon compose-jb

Jetpack Compose for Desktop and Web, a modern UI framework for Kotlin that makes building performant and beautiful user interfaces easy and enjoyable.

compose-richtext icon compose-richtext

A collection of Compose libraries for advanced text formatting and alternative display types.

geckompose icon geckompose

Gecko Jetpack Compose using Accompanist WebView's style

heartratepatterns icon heartratepatterns

This work focuses on predictive mortality analysis, through the identification of patterns in heart beats of patients in the intensive care unit (ICU). As a data source, MIMIC III is used, where the patient information is found in the ICU, these data are transformed into graphs, later the possible patterns of beats are located between all the patients, through the frequent graph mining, reduce these patterns using Non-Negative Matrix Factorization (MFN) and group the patients by their characteristics. In the end, using logistic regression identifies the probability that each of these groups of patients have to die.

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