A React + Motoko example for the internet computer

LeNet CNN based classifier for German Traffic Signs, an exercise for Udacity Self Driving Car course

Project of Udacity Nanodegree for self-driving car engineer, to develop a convolutional neural network that can drive a car around a track (virtually), using Keras with TensorFlow, in Python.

Project of Udacity Nanodegree for self-driving car engineer, to implement a PID Controller in C++

Project of Udacity Nanodegree for self-driving car engineer, to implement an unscented Kalman filter in C++

Vehicle detection project of Udacity self driving car engineer nanodegree course

Project of Udacity Nanodegree for self-driving car engineer, to implement Model Predictive Control (MPC) in C++

Project of Udacity Nanodegree for self-driving car engineer, to implement a Path Planning algorithm in C++

Project of Udacity Nanodegree for self-driving car engineer, to implement Semantic Segmentation with an FCN using transfer learning, with TensorFlow, in Python

Project of Udacity Nanodegree for self-driving car engineer, to implement an extended Kalman filter in C++

Finding Lane Lines, using advanced methods, part of Udacity self driving car Nano Degree program

Lab example of Transfer Learning, from Udacity Self Driving Car Engineer

Lab example using Alexnet during UDACITY self driving car engineer course

Exercise as part of Udacity course to create a neural network to label images of English letters.

UDACITY - Self Driving Cars, Project 1: finding & drawing lanes on images and video streams