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Name: Hillary Ngai
Type: User
Bio: Computer Science Master's Student, University of Toronto Machine Learning Researcher, Vector Institute
Name: Hillary Ngai
Type: User
Bio: Computer Science Master's Student, University of Toronto Machine Learning Researcher, Vector Institute
Project Detailed Description: Today many Ultimate Software Customers are inundated with hundreds of applications. It may take many hours for a recruiter to sift through and identify the most highly qualified candidates. After identifying these top contenders, they still need to interview them. With Ulti Themis we propose to maximize recruiter time and effort by streamlining the interview process by incorporating automated video interviews and providing key candidate metrics such as culture match based on the information collected during these recorded sessions.
Project for our BME 355 Project.
As a team, designed and coded an android app that logs users' daily nutritional intake by identifying pictures of food taken by user. Incorporated Clarifai visual recognition API, machine learning, Android Studio, Java, and Python
Text-based emotion detection model in Python using PyTorch, Pandas, and AllenNLP; improved accuracy by 28% using transfer learning with state-of-the-art word embedding model, BERT
• Programed a LBPH facial recognition classifier that detects a face in an image, predicts and labels the name of the subject, and outputs the corresponding prediction confidence level • Incorporated machine learning and OpenCV in Python
My personal website.
Coded a fast algorithm for multi-level image thresholding in MATLAB that decreases runtime when compared to built-in image segmentation methods & Programmed an algorithm in MATLAB that converts a grayscale image into a binary image without using built-in computer vision libraries
Using python (sklearn and numpy), programmed a classifier that identifies different types of iris flowers into setosa, versicolor, and virginica
Labs for SYDE 372: Intro to Pattern Recognition
The gang wrecks paturns
SeamlessMD Assignment Answers
As a team, designed and programmed a wearable device that detects freezing of gait for people with Parkinson’s disease and responds by sending vibrations to patellar tendon to stimulate gait . Incorporated MATLAB (signal processing), Arduino Uno, and DC motor
Tic-Tac-Toe game with basic AI.
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.