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CS-7641-Machine-Learning-Notes
In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.CS-6210-Advanced-Operating-Systems-Notes
In this repository, I will publish my notes for GaTech's Advanced Operating Systems course (CS6210).German-Traffic-Sign-Classification-Using-TensorFlow
In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.Lane-lines-detection-using-Python-and-OpenCV
In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.CS-7642-Reinforcement-Learning-Notes
In this repository, I will publish my notes for GaTech's Reinforcement Learning course CS7642.Advanced-Lane-Finding-Using-OpenCV
In this project, I used OpenCV to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car.An-Autonomous-Vehicle-System-For-Carla
In this project, we built ROS nodes to implement the core functionality of the autonomous vehicle system, including traffic light detection and classification, vehicle control control, and waypoint following.Behavioral-Cloning-End-to-End-Learning-for-Self-Driving-Cars
In this project, I used a deep neural network (built with Keras) to clone car driving behavior. The dataset used to train the network is generated from Udacity's Self-Driving Car Simulator, and it consists of images taken from three different camera angles (Center - Left - Right), in addition to the steering angle, throttle, brake, and speed during each frame. The network is based on NVIDIA's paper End to End Learning for Self-Driving Cars, which has been proven to work in this problem domain.Vehicle-Path-Planning-Algorithm
In this project, our goal is to design a path planning algorithm that is able to a car around a simulated highway scenario, including traffic and given waypoints, telemetry, and sensor fusion data.Vehicle-Steering-Using-PID-Control
In this project, we implement a PID controller to steer the self driving car around the track in Udacity's Simulator.Semantic-Segmentation-using-Fully-Convolutional-Networks
In this project, we'll construct a fully convolutional neural network based on the VGGNet-16 architecture to perform semantic segmentation on a video captured from a front facing camera mounted on a vehicle dashboard to identify the drivable surface area.Vehicle-Detection-and-Tracking
In this project, I built a software pipeline to detect vehicles in a video.Vehicle-Steering-Using-Model-Predictive-Control
The main goal of the project is to implement in C++ Model Predictive Control to drive the vehicle around the simulator track.kaggle_titanic
Predicting Titanic survival probability using several classification modelscoursera-ml
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