ShanukJ
Innovative Programmer and Internet Entrepreneur striving to make the world more comfortable by solving problems.
Sri Lanka
Pinned Repositories
Algorithms
A collection of algorithms and data structures
android-fundamentals-apps-v2
Arduino-FM-Radio
A simple FM radio using Arduino and TEA5767 FM Radio Module with an OLED display and rotary encoder to tune radio stations.
FinanceApp
gDrive-Multiple-File-Upload
This is a simple script to upload Multiple files into google drive using google drive API and Nodejs.
mobile-ui-ux-implementation
This is the MODULE: (2021) 6MMCS003C.1 Mobile User Experience Course work 02
nft-metadata-generator
A simple script to generate n number of generic metadata or dynamic metadata for nfts.
react-native-draggable-floating-action-button
similar-image-search
WeatherApp
The WeatherApp is developed using SwiftUI life cycle and OpenWeatherMap APIs to show the current weather and forecasted weather for a location chosen by the user.
ShanukJ's Repositories
ShanukJ/nft-metadata-generator
A simple script to generate n number of generic metadata or dynamic metadata for nfts.
ShanukJ/Arduino-FM-Radio
A simple FM radio using Arduino and TEA5767 FM Radio Module with an OLED display and rotary encoder to tune radio stations.
ShanukJ/gDrive-Multiple-File-Upload
This is a simple script to upload Multiple files into google drive using google drive API and Nodejs.
ShanukJ/mobile-ui-ux-implementation
This is the MODULE: (2021) 6MMCS003C.1 Mobile User Experience Course work 02
ShanukJ/Algorithms
A collection of algorithms and data structures
ShanukJ/android-fundamentals-apps-v2
ShanukJ/awesome-computer-vision-models
A list of popular deep learning models related to classification, segmentation and detection problems
ShanukJ/coming-soon-ch
A simple, animated and responsive "coming soon" page template.
ShanukJ/continuity-camera-mount
Model files for 3D printing a Continuity Camera mount
ShanukJ/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
ShanukJ/FinanceApp
ShanukJ/gif_and_video_art_engine
A GIF and Video art engine that will allow you to generate multi-layer GIFs or Video from single GIFs or Video as layers.
ShanukJ/react-native-draggable-floating-action-button
ShanukJ/similar-image-search
ShanukJ/WeatherApp
The WeatherApp is developed using SwiftUI life cycle and OpenWeatherMap APIs to show the current weather and forecasted weather for a location chosen by the user.
ShanukJ/arduino_round_lcd_display
Arduino UNO with Round LCD IPS Display
ShanukJ/nft-image-generator
ShanukJ/not-for-iphone-usb-c
ShanukJ/project_graphql_blog
With featured and recent posts, categories. full markdown articles, author information, comments, and much more, this fully responsive CMS Blog App is the best Blog Application that you can currently find on YouTube. And what's best of all is that you and your clients can manage the blog from a dedicated Content Management System.
ShanukJ/rarity-analyser
Cool Rarity is an open source package for easy rarity score calculation with ERC721 NFT metadata collection. It was born in punkscape 01 rarity analyser hackathon.
ShanukJ/react-native-carousel
ShanukJ/react-native-chat-app-firebase
Chat App - React Native, Firebase Firestore, Firebase Authentication
ShanukJ/react-native-searchable-flatlist
React native Flatlist with search header
ShanukJ/react-navigation-v5-mix
ShanukJ/Reasoning-About-Programs-CW01
ShanukJ/technical-assignment
A simple react application built with material-UI. Follow the below link for the live demo.
ShanukJ/video-source-code-create-nft-collection
ShanukJ/Visual-Similarity-Based-Recommendation-System
It is a very basic recommender system that shows products similar to a given product based on their visual similarities. The pre-trained CNN models from Keras are used to extract the image features. To calculate the similarity between images cosine similarity is calculated for these image feature vectors. VGG16, ResNet50, VGG19, Xception, MobileNet models are used as feature extractors on the same corpus of images, and results are visualized separately for each model.