Kai Luo (k9luo)

k9luo

User data from Github https://github.com/k9luo

Company:University of Toronto

Location:Toronto, ON, Canada

GitHub:@k9luo

Kai Luo's repositories

Punctuation-Restoration

A TensorFlow Implementation of Punctuation Restoration.

Language:PythonLicense:MITStargazers:18Issues:2Issues:2

Android_Apps

ECE 155 | Engineering Design with Embedded Systems | Winter 2015 All labs are Android applications and were tested on Nexus 5 and Nexus 7 devices. Lab 1 - Sensor Reader Displays informaton from an android phone sensors. Sensors include Light sensor: Displays light intensity Accelerometer: Displays X,Y,Z acceleration and displays it on a graph with respect to time Magnetic Field Sensor: Displays X,Y,Z field values Rotation Sensor: Displays X,Y,Z rotation values Lab 2 - Step Counter Detects and counts user steps (device held in both hands with screen facing upwards) Uses accelerometer data to detect a step in the user's motion. Step counter is then incremented and displayed on screen. Step counter can be reset by pressing the reset button.> Lab 3 - Displacement Tracker Measures user displacement in NS/EW coordinates Uses existing code from Lab 2 and adds the user's direction to track their displacement. North has to be calibrated by facing North and hitting the calibrate button. Lab 4 - Map Guide Gives directions to the user to move from one point of a room to another. Uses existing code from Lab 3 to track the user's displacement. A map in an SVG format must be added to the app's files directory. The user can set their initial location and direction by pressing and holding on the map.

Language:JavaStargazers:10Issues:2Issues:0

LatentLinearCritiquingforConvRecSys

Official Code Framework of the paper "Latent Linear Critiquing for Conversational Recommender Systems"

Language:PythonStargazers:9Issues:1Issues:0

DeepCritiquingForVAEBasedRecSys

Official Code Framework of the paper "Deep Critiquing for VAE-based Recommender Systems"

Language:Jupyter NotebookStargazers:8Issues:3Issues:1

Deep-Preference-Elicitation

A Comparative Evaluation of Active Learning Methods in Deep Recommendation

Language:Jupyter NotebookStargazers:3Issues:2Issues:0

Coursera-Stanford-Machine-Learning-Course

Coursera Stanford Machine Learning Programming Exercise

Language:MatlabStargazers:0Issues:0Issues:0

leetcode-1

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)

Language:JavaScriptLicense:Apache-2.0Stargazers:0Issues:0Issues:0

Pelmorex-Data-Scientist-Test

An ads recommendation.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0
Language:Jupyter NotebookStargazers:0Issues:1Issues:0

Variational-Autoencoders-for-Collaborative-Filtering-Recommendation-on-Yelp

Variational Autoencoders for Collaborative Filtering Recommendation on Yelp Dataset

Language:PythonStargazers:0Issues:1Issues:0

wavenet_vocoder

WaveNet vocoder

Language:PythonLicense:NOASSERTIONStargazers:0Issues:2Issues:0