Pinned Repositories
AStar-Route-Planning
uses A* search algorithm to find the shortest path on a map and visualize it
awesomeDialogs
A new Flutter package project for simple a awesome dialogs
bubble_game
CarND-Advanced-Lane-Lines
Detecting lanes in video frames using traditional computer vision and camera calibration techniques
CarND-Semantic-Segmentation
use Fully Convolutional Network (FCN) to identify road pixels in images
CS294-112-reinforcement_learning_project_solutions
my solutions to Berkley's Deep Reinforcement Learning Class CS294-112.
emotion-detection
Look into a webcam and the program will tell you whether you are smiling or not.
gradient_descent_viz
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
machine_learning_paper_reading_notes
summary and reflection of machine learning papers I read
Programming-a-Real-Self-Driving-Car
code to power a real self driving car! used SSD to detect traffic light state
lilipads's Repositories
lilipads/gradient_descent_viz
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
lilipads/emotion-detection
Look into a webcam and the program will tell you whether you are smiling or not.
lilipads/CS294-112-reinforcement_learning_project_solutions
my solutions to Berkley's Deep Reinforcement Learning Class CS294-112.
lilipads/machine_learning_paper_reading_notes
summary and reflection of machine learning papers I read
lilipads/Programming-a-Real-Self-Driving-Car
code to power a real self driving car! used SSD to detect traffic light state
lilipads/AStar-Route-Planning
uses A* search algorithm to find the shortest path on a map and visualize it
lilipads/awesomeDialogs
A new Flutter package project for simple a awesome dialogs
lilipads/bubble_game
lilipads/CarND-Advanced-Lane-Lines
Detecting lanes in video frames using traditional computer vision and camera calibration techniques
lilipads/CarND-Extended-Kalman-Filter-Project
Implement a kalman filter to estimate the state of a moving object of interest with noisy lidar and radar measurements
lilipads/CarND-Kidnapped-Vehicle-Project
Implementation of a 2 dimensional particle filter to localize a car
lilipads/CarND-Semantic-Segmentation
use Fully Convolutional Network (FCN) to identify road pixels in images
lilipads/CarND-MPC-Project
implementation of Model Predictive Control (MPC) to calculate the steering, throttle and steering values for a car to follow a given trajectory
lilipads/CarND-Path-Planning-Project
use a finite state machine (FSM) to plan lane changing behavior and safe driving path for a car
lilipads/CarND-PID-Control-Project
implementation of Proportional-Integral-Derivative(PID) Controller to calculate the steering, throttle and steering values for a car to follow a given trajectory
lilipads/CarND-Traffic-Sign-Classification
use LeNet to classify traffic signs
lilipads/CarND-Unscented-Kalman-Filter-Project
Implement an unscented kalman filter to estimate the state of a moving object of interest with noisy lidar and radar measurements
lilipads/CarND-Vehicle-Detection
draw bounding boxes around vehicles using SVM + HOG with sliding window
lilipads/CppND-Memory-Management-Chatbot
lilipads/CppND-Program-a-Concurrent-Traffic-Simulation
The final project for the Udacity C++ Nanodegree Concurrency course
lilipads/mini-Htop-System-Monitor
System Monitor Project from the Object Oriented Programming Course of the Udacity C++ Nanodegree Program