Chris Yao's repositories
Udacity_SDCND_Vehicle-Detection
Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from a automotive camera taken during highway driving.
Awesome_List
A collection of useful articles and tutorials
Azure-TDSP-ProjectTemplate
Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
Azure-TDSP-Utilities
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
chalice
Python Serverless Microframework for AWS
face_recognition
The world's simplest facial recognition api for Python and the command line
flask-apscheduler
Adds APScheduler support to Flask
InternetOfThingsCourse
An Internet Of Things Course
keras-wtte-rnn
Demo Weibull Time-to-event Recurrent Neural Network in Keras
mundana-theme-jekyll
Mundana is a free Jekyll theme, Medium styled.
Python-Email-Verification-Script
A simple script for email address verification using syntax, DNS and mailbox verification
scikit-feature
open-source feature selection repository in python (DMML Lab@ASU)
Udacity_AIND_Sudoku
Applied Constraint Propagation and Search techniques to solve sudoku games.
Udacity_CarND_Extended-Kalman-Filter-Project
Implementation of the extended Kalman filter in C++.
Udacity_CarND_Kidnapped-Vehicle-Project
Implementation of a 2 dimensional particle filter in C++
Udacity_CarND_MPC-Project
Implementation of Model Predictive Control to drive the car around the track
Udacity_CarND_PID-Control-Project
Implementation of a PID controller in C++ to maneuver the vehicle around the track
Udacity_CarND_Unscented-Kalman-Filter-Project
Implementation of an unscented Kalman filter using the CTRV motion model
Udacity_SDCND_advanced-lane-lines
Developed a pipeline to process a video stream from a forward-facing camera mounted on the front of a car, and output an annotated video with position of lane lines and so on.