Pinned Repositories
android-face-recognition
this is face recognition from https://github.com/pillarpond/face-recognizer-android
flutter-bloc
flutter-tensorflow-book-recommendation
This is book app with recommendation
HorizonNet
Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.
Knn-Classification-with-mobilenet-js
this is Knn Classification with mobilenet with Javascript
Movie-MVVM-dagger2-Rxjava2-livedata
Movie-MVVM-Kotlin
this is movie project kotlin version
rust_task_tracker
This is rust task tracker project
RxMaterialSearchView
this library rxjava2 version from material search view https://github.com/MiguelCatalan/MaterialSearchView
Wallaz
Get beautiful photo for wallpaper, support auto changer
irmansyah's Repositories
irmansyah/Movie-MVVM-Kotlin
this is movie project kotlin version
irmansyah/Movie-MVVM-dagger2-Rxjava2-livedata
irmansyah/Knn-Classification-with-mobilenet-js
this is Knn Classification with mobilenet with Javascript
irmansyah/RxMaterialSearchView
this library rxjava2 version from material search view https://github.com/MiguelCatalan/MaterialSearchView
irmansyah/Wallaz
Get beautiful photo for wallpaper, support auto changer
irmansyah/Android-movement-detection
this project is device movement detection using Machine Learning
irmansyah/awesome-android-ui
A curated list of awesome Android UI/UX libraries
irmansyah/awesome-flutter
An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.
irmansyah/Color-Collection
This is repo for my color collection
irmansyah/EPL-Schedule
irmansyah/FastHub
FastHub the ultimate GitHub client for Android.
irmansyah/FlexyGrid
this is repo is pinch flexible grid for recyclerview
irmansyah/FloatingVariant
irmansyah/flutter_face_detection
Face detection app built with Flutter and Firebase ML Kit
irmansyah/flutter_ui_challenges
Trying to replicate various app UIs in flutter
irmansyah/Human-Activity-Recognition-with-Neural-Network-using-Gyroscopic-and-Accelerometer-variables
The VALIDATION ACCURACY is BEST on KAGGLE. Artificial Neural Network with a validation accuracy of 97.98 % and a precision of 95% was achieved from the data to learn (as a cellphone attached on the waist) to recognise the type of activity that the user is doing. The dataset's description goes like this: The sensor signals (accelerometer and gyroscope) were pre-processed by applying noise filters and then sampled in fixed-width sliding windows of 2.56 sec and 50% overlap (128 readings/window). The sensor acceleration signal, which has gravitational and body motion components, was separated using a Butterworth low-pass filter into body acceleration and gravity. The gravitational force is assumed to have only low frequency components, therefore a filter with 0.3 Hz cutoff frequency was used.
irmansyah/kamusku
this is kamusku
irmansyah/Kotlin-Movie-Schedule
this is kotlin version from Movie MVVM
irmansyah/Learn-Deep-Learning
irmansyah/Learn-Node.js
I Just learn web programming with Node.js
irmansyah/Lorenz-Attractor
this repo create from coding train tutorial
irmansyah/MaterialSearchView
Cute library to implement SearchView in a Material Design Approach
irmansyah/ML-predict
irmansyah/myFootball
this is my football app
irmansyah/MyNews
this is mynews repo
irmansyah/p5_training
i learn p5.js in this repo
irmansyah/PixelSorting
sorting pixel from image
irmansyah/self_driving_cars
Companion code for Self-Driving Car YouTube Series
irmansyah/SimpleDraw
this is my first simple ios app
irmansyah/TestTAP
test