sumeramartin Goto Github PK
Name: Martin Sumera
Type: User
Name: Martin Sumera
Type: User
A simple application created with Jetpack Compose as a submission for #AndroidDevChallenge
Implementation of art gallery application for Android with integration of augmented reality build on Kenticocloud
Implementation of Unity section of art gallery application for Android with the integration of augmented reality build on Kenticocloud
Implementation of art gallery application for iOs with integration of augmented reality build on Kenticocloud
Playground for Compose Multiplatform
Official Jetpack Compose samples.
Coreactor is an MVI framework for Android applications written for Kotlin Coroutines with a focus on readability and simplicity.
Currency convert which use yahoo.finance.xchange web service.
GitLab CI image for building Android apps (fork of jangrewe/gitlab-ci-android with java 17)
Android library for building reactive applications based on MVI architecture.
A ktlint gradle plugin
List of all meteorites since 2011
Machine Learning School
OIDC SDK for Android
Privado CLI scans & monitors your repositories to build up privacy-transparency reports & finds privacy issues.
The task of this project is to find suitable and accurate way of detecting abnormal camera view on given image data using several methods of machine learning. Data are collected from several camera sources from different places, and for simplicity chosen only from daytime. Given image data displays a surveillance pictures of a road and its surroundings, with vehicles passing by. The datasets consist of normal images, and images with some type of abnormal camera view. There are different types of anomalies displayed on the pictures, whether the anomalies are caused by camera malfunctioning or transmission error, or by external causes (vehicle blocking camera view, objects on road, people on road etc.). The goal of the project is to find a successful method for detecting various abnormal camera views on given dataset using following methods of machine learning: 1) Autoencoders and neural networks 2) SVM and bag of visual words Part of the solution should be comparison of the results of the named methods of machine learning and also comparison of their advantages and disadvantages on given data.
RxDebug is a kotlin extension that provides a very simple way of debugging RxJava2 streams
RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.
Lifecycle handling APIs for Android apps using RxJava
Example project for "Bring RxLifecycle to presenter world" article https://blog.thefuntasty.com/bring-rxlifecycle-to-presenter-world-703d0da5d6d1
KMM Template and KMM app generator script
This action converts given *.aab file to universal *.apk file
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.