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computer-vision-tutorial

computer vision tutorial guide courses books codes slides resources

cv

The Complete 2023 Web Development Bootcamp: 3. Intermediate HTML 28. Publish Your Website!

data-science-books

A repository of books in data science

drag0n0wl

Config files for my GitHub profile.

fastest-lap

Fastest-lap is a vehicle dynamics simulator. It can be used to understand vehicle dynamics, to learn about driving techniques, to design car prototypes, or just for fun!

forking-lesson

Testing fork

hello-world

My first repository

introduction-to-git-and-github

Practice for Coursera "Introduction to Git and GitHub"

introduction-to-github

Graded Assessment for Coursera W3 "Introduction to Git and GitHub"

introduction-to-programming-in-c-specialization-from-coursera

home_work_assignment from Introduction to Programming in C Specialization by Duke

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kalman-cpp

Basic Kalman filter implementation in C++ using Eigen

kalman-filters

Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.

liblanelet

Library for handling lanelet maps in C++

m3l2_forking_lab

Week3_lab_Forking_Exercise

m4l1_managing_a_project

Week4_Lab_Forking

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

models

Models and examples built with TensorFlow

no

opencv-course

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

opengl-tutorials

Tutorials from the following playlist: https://www.youtube.com/playlist?list=PLPaoO-vpZnumdcb4tZc4x5Q-v7CkrQ6M-

ossu-computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

pcl

Point Cloud Library (PCL)

pokered

Disassembly of Pokémon Red/Blue

ros2_udemy

self-driving-car-js

Youtube Tutorial: https://www.youtube.com/watch?v=Rs_rAxEsAvI&t=3377s

self_driving_car_specialization

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

tanzhiliang.github.io

special webpage project

tindog-start