hungngo97 Goto Github PK

app-ios

audio-label

capture-rdt

differential-neural-network

Implement plain neural network Pytorch to learn mapping of a differential equation system such as Reaction Diffusion system, Lorenz system

djavac

editor

Editor/IDE for Vega and Vega-Lite

editor-backend

Backend for the Vega Editor

fourier-transform-localization

This paper illustrates an introduction to Fourier transform and its application to engineering fields, including an application to time-frequency analysis and feature extraction. This paper demonstrates the denoising ability of Fourier transform through an application in detecting a marble’s location inside a dog’s intestine through ultrasound data (fake data).

gabor-transform-audio-analysis

This paper illustrates the advantages of Gabor transform and its modification to Fourier transform to perform time-frequency analysis. This technique allows us to extract feature from subsets of the original data and understand better properties of each signal’s part. This paper demonstrates the feature extraction on audio analysis application by using spectrograms and sound frequency retrieval from musical recordings.

hmm-part-of-speech

Implementation of Hidden Markov Model for Part of Speech tagging (supervised and semi-supervised learning)

hung-ngo-portfolio-react-page

hungngo97

Personal README

hungngo97.github.io

language-models

mnist-lasso-regression

MNIST classification and feature extraction with Lasso regression

navigation-data-prep

ner-perceptron

Named Entity Recognition with Structured Perceptron

network-graphical-dependencies

Implemented various clustering techniques and regression tools to examine the relationship between company's stock performance vs the overall market from SP500 with temporal sentiment score of companies.

principal-component-analysis

This paper illustrates an overview of principal component analysis and dimensional reduction to perform better data analysis. This technique allows us to extract hidden features from large amount of data by analyzing variances among variables and linearly transform original data to a new orthogonal coordinate system to discover insights. This paper demonstrates an application of principal component analysis by detecting harmonic oscillation movement in a spring-mass system data.

rdt-capture

Image capture and interpretation of Rapid Diagnostic Test results using OpenCV and machine learning techniques

react-vega

Convert Vega spec into React class conveniently

recommending-service-flask

A recommending service built with Flask application and TFIDF word vectorizer and apply various classification algorithms such as cosine similarity, SVM, neural nets and random forest

resume-parser

A Simple NodeJs library to parse Resume / CV to JSON.

resumeparser

Resumeparser

soundwatchplayground

SoundWatchPlayground

sparse-regression

tetris-game-ruby

Tetris game desktop application with Ruby, developed with Tkinter

vega-lite

A concise grammar of interactive graphics, built on Vega.

vega-react-native

watch-socket-server