davidscmx Goto Github PK

-motion-planning-in-carla

Implementation of a motion planner with the CARLA simulator based on the Udacity Self-driving engineer course.

advanced-lane-finding

ai-at-the-edge

Inference with Intel's Public Zoo and Neural Compute Stick 2

backyard-drone-flyer

Backyard drone flyer from the Udacity Flying car Nanodegree program.

c_excercises

In this repository I will store my C language practice excercise mainly coming from Learn C the Hard Way from Zed Shaw.

camera_lidar_fusion

Sensor fusion with camera and lidar via an extended kalman filter

camera_lidar_sensor-fusion_waymo

Measurements from LiDAR and camera of tracked vehicles are fused over time. Real-world data from the Waymo Open Dataset is used to detect objects in 3D point clouds and apply an extended Kalman filter for sensor fusion and tracking

carnd-alexnet-feature-extraction

This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.

carnd-behavioral-cloning-p3

Starting files for the Udacity CarND Behavioral Cloning Project

carnd-kidnapped-vehicle-project

carnd-lanelines-p1

Lane Finding Project for Self-Driving Car ND

carnd-mpc-project

CarND Term 2 Model Predictive Control (MPC) Project

carnd-mpc-quizzes

CarND MPC Quizzes

carnd-path-planning-project

Create a path planner that is able to navigate a car safely around a virtual highway

carnd-semantic-segmentation

carnd-term1-starter-kit

carnd-traffic-sign-classifier-project

carnd-transfer-learning-lab

carnd-unscented-kalman-filter-project

carnd-vehicle-detection

Vehicle Detection Project

code-interview-python

Code for Cracking the Code Interview code

cpp-primer-5th-exercises

Solutions to Exercises in C++ Primer 5th Edition

ctci_practice

Excercises from the book, cracking the code interview.

datasciencecoursera

datasharing

The Leek group guide to data sharing

david-sosa.github.io

Sitio de Presentación

davidscmx.github.io

Personal website

davidsosa.github.io

Personal website

deeplearningai

This is my personal projects for the course. The course covers deep learning from begginer level to advanced. Highly recommend anyone wanting to break into AI. Instructor: Andrew Ng, DeepLearning.ai

drone-control

Udacity's drone control project.