heshanera Goto Github PK
Name: Heshan Eranga
Type: User
Location: Sri Lanka
Name: Heshan Eranga
Type: User
Location: Sri Lanka
Algorithm Implementations
Simple Artificial Neural Network for the XOR function. Network is build with three layers, Input layer, Output layer and one hidden layer with four nodes. Used Sigmoid as the Activation function
assets
Image binarization using opencv
Character Recognition using an artificial neural network. Network is trained for 26 characters. Implemented in C++ and Magick++ API is used for pixel manipulation
Convolutional Neural Network implemented in C++. Eigen library is used for matrix manipulations. Convolution layers, Activation layers, Pooling layers and Fully connected layers are available in the network.
simple java database operator
Dynamic Time Warping Algorithm can be used to measure similarity between 2 time series. Objective of the algorithm is to find the optimal global alignment between the two time series, by exploiting temporal distortions between the 2 time series.
Edge detection using the canny operator and line detection using the convolution based techniques. Implemented the edge detector in C++ using the Magick++ API.
Service Bus which enables multiple services to interact with each other. Implemented using Java Sockets, Java Native Interface (JNI) and Jython library. Can interact with Java, C++ and Python.
Website for a gym for advertising purposes with a admin panel to manage the website. Developed using the codeigniter framework.
A Management System for a Health Care Facility. The system includes Registration of patients, Making appointments, Storing patient records, Billing in the pharmacy & Pharmacy stock controlling
customized i3bar using i3blocks
A dynamic library for image processing. To Extract the pixel map of the image. Support PNG, JPG, TIF and BMP image file formats. Inbuilt methods for resizing, cropping, generating grayscale and binary images.
Feature Matching using SURF, Brute Force Matcher and FLANN Matcher
A framework for time-series anomaly detection. The framework consists a prediction module and a detection module. Prediction module is based on LSTM and CNN. DTW is used in detection module .
A Long Short Term Memory neural network for time series prediction. Memory blocks contain one memory cell in each. Weights for the network are randomly initialized.
Memory allocator and deallocator function in C
Online Passive Aggressive Binary Classifier
A simple POS system. React and Redux is used in the frontend. Backend server is developed in nodejs, mongodb. mongoose is used as an object data modeling library.
Dynamic form creation module implemented using react. Can generate forms and interact with the generated from with view and edit modes. Allows adding custom elements.
React hook for consuming Server Sent Events (SSE). This is a wrapper built around the EventSource API. Handle EventSource events and consume named events sent from the server.
Classification of IMDB movie reviews using Support Vector Machine and using Logistic Regression methods
Remote Procedure Call in C generated using rpcgen
Webpack loader for processing SVG files. Loader options allows embedding SVGs into the HTML, spritesheet injection, or spritesheet extraction for linking.
System calls in a linux operating system which request services from the kernel of the OS
Compare univariate temporal sequences
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.