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artificial-intelligence-for-robotics

Udacity course on AI for robotics taken by Stanford professor Sebastian Thrun. It focuses on the basic building blocks for Google's self driving car and teaches the concepts essential for Artificial Intelligence in Robotics.

blind-motion-deblurring-for-license-plates

This project combines modern and traditional approaches to estimate a length and angle parameter for the point-spread function responsible for motion-deblurring of an image. These parameters are then used for Wiener Deconvolution to obtain non-blurred images.

computer_vision

This repository includes three projects that use basic concepts of computer vision and deep neural networks. The projects are Facial keypoint detection, Image captioning and Visual SLAM.

deep_reinforcement_learning

This repository includes various projects using different Deep Reinforcement Learning algorithms and concepts performed on various OpenAI and Unity environments.

robot-software-engineering-udacity-nd

Udacity's nano-degree on robotics software development that includes various projects on ROS and Gazebo to learn how to intensively work with ROS packages and simulations.

self_driving_cars_udacity-nd

Udacity's 6 month nano degree that teaches a variety of concepts in different fields like Artificial intelligence, computer vision, deep learning, path planning, sensor fusion, behavior modelling, prediction and system integration. This repository contains all the nano degree projects from all these different fields.

shala2020

shala2020.github.io

Lectures and notes for a summer course on DS, ML, and AI

trajectorysupervisor

udacity_intro_to_self_driving_cars

All the project codes of Udacity's Intro to self driving cars nano-degree program.