Autonomous vehicle enthusiast
Decision-Transformers-For-Trading. Jupyter Notebook
34Coursera-Aerial-Robotics. This repository includes all programming assignments solved while attending Coursera's Aerial Robotics course
31Udacity-SDC-Docker-GPU. Created Dockerfile that includes all software installations required for Udacity SDC ND Term 1 and Term 3. This is tested on Ubuntu 16.04 and supports GPU.
3Udacity-Self-Driving-Car-ND-Term2. To build the core robotic functions of an autonomous vehicle system: sensor fusion, localization and control. README includes GitHub repository links for 5 successfully completed projects.
3Udacity-Self-Driving-Car-ND-Term3. This term focusses on path planning, an elective and system integration. README includes GitHub repository links for successfully completed projects.
2Animal-Image-Classification-WebApp. A simple website where users can post an image of an animal and get the name as result.
1SDC-P8-Particle-Filter. To implement particle filter in C++
1SDC-P10-MPC-Controller. To implement a Model Process controller in C++ to maneuver a simulated car around the lake race track.
1SDC-P7-Unscented-Kalman-Filter. To implement the unscented Kalman filter in C++
1Udacity-Self-Driving-Car-ND-Term1. Demonstrate the ability to apply machine learning skills to solve a variety of autonomous driving related problems. README includes GitHub repository links for 5 successfully completed projects.
1Coursera-Probabilistic-Graphical-Models. This repository includes 5 of 9 programming assignments solved while taking up Coursera's Probability Graphical Model course.
1Stanford-UFLDL. This repository includes all programming assignments solved while taking up Stanford's Unsupervised Feature Learning and Deep Learning (UFLDL) course.
1Coursera-Machine-Learning. This repository includes all programming assignments solved while attending Coursera's Machine Learning course.
1Coursera-Neural-Nets. This repository includes all programming assignments solved while attending Coursera's Neural Nets course.
1SDC-P4-Advanced-Lane-Finding. This project deals with finding lanes in complex scenarios like curving lines, shadows and changes in the color of the pavement.
1SDC-P5-Vehicle-Detection-And-Tracking. To detect vehicles in an image and track them from frame to frame in a video stream
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