kbmajeed

adaptive_adrc

The altitude control of a quadrotor unmanned aerial vehicle is treated using its altitude dynamics in hover mode. An LMS-based Adaptive Active disturbance rejection control (AADRC) is proposed to compensate for disturbance effects resulting in smoother control.

adrc_quadrotor

ADRC uses an Extended state observer to linearize the Quadrotor's Nonlinear dynamics (similar to Feedback linearization). This makes it capable of eliminating disturbances (robustness).

backstepping_quadrotor

Backstepping is a Nonlinear controller based on Lyapunov functions. Four controllers are developed for the Altitude, Yaw, Pitch, and Roll attitudes of the quadrotor.

Cookbook

The Data Engineering Cookbook

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

endangered_species_dronetracking

Backstepping and Proportional-Derivative (PD) methods was used for the control of a quadrotor unit and subsequently proposed for autonomous tracking of an endangered species; the ’Northern white rhino’. Extended Kalman Filter (EKF) estimation was applied for the localization of the rhino in a virtual wildlife reserve.

exposure_fusion

Exposure fusion is a technique that creates a single image with optimal detail from a set of multi-exposed images. As developed by Tom Mertens et al., the proposed algorithm computes relevant quality measures; Contrast, Saturation, and Well-Exposedness. These measures are then combined to create a weight map used to blend each of the multi-exposed images to a single image with best exposure.

induction_motor

Lyapunov based based backstepping controller was developed to control an induction motor.

mobile_jammer

Extrinsic noise is everywhere. Using a microphone and a Voltage controlled crystall oscillator, an RF circuit was built to jam cellular communications at the GSM band using destructive interference.

nigeria_covid19

Repository on the COVID-19 Cases in Nigeria

kbmajeed/nigeria_covid19

Repository on the COVID-19 Cases in Nigeria

kbmajeed/seam_carving

Reproducing the paper "Content-aware image resizing" by Shai-Avidan et al. Using the seam carving algorithm, three images are subject to: (1) aspect ratio change by seam removal, (b) aspect ratio change by seam insertion, and (c) aspect ratio change by optimal retargeting.

kbmajeed/algforopt-errata

Errata for Algorithms for Optimization book

kbmajeed/algforopt-notebooks

Jupyter notebooks associated with the Algorithms for Optimization textbook

kbmajeed/Applied-Deep-Learning

Applied Deep Learning

kbmajeed/Best_AI_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

kbmajeed/cs-video-courses

List of Computer Science courses with video lectures.

kbmajeed/CtCI-6th-Edition-Python

Cracking the Coding Interview 6th Ed. Python Solutions

kbmajeed/d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

kbmajeed/Data-Engineering-with-Python

Data Engineering with Python, published by Packt

kbmajeed/DeepLearningExamples

Deep Learning Examples

kbmajeed/From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

kbmajeed/herokuTest

testing cd and heroku dynos

kbmajeed/hiivemdptoolbox

Markov Decision Process (MDP) Toolbox for Python

kbmajeed/interviews

Everything you need to know to get the job.

kbmajeed/jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

kbmajeed/kbmajeed.github.io

Portfolio Site

kbmajeed/Kbmajeed_CV_Resume

kbmajeed/Machine-Learning

Implementation of different ML Algorithms from scratch, written in Python 3.x

kbmajeed/machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

kbmajeed/matlab-with-python

Examples using MATLAB and Python together

kbmajeed/ML-For-Beginners

12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all

kbmajeed/mlrose

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

kbmajeed/MLWithPytorch

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

kbmajeed/msds621

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

kbmajeed/nd0821-c2-build-model-workflow-exercises

Exercise Code for Course 2 of the Udacity ML DevOps Nanodegree Program

kbmajeed/search_fundamentals_course

Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-fundamentals?utm_source=daniel

kbmajeed/system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

kbmajeed/vizsearch

Visual search engine is a practical implementation of an image retrieval system using visual embeddings from a deep learning computer vision model and a retrieval system leveraging vector databases.

kbmajeed/www.mlcompendium.com

The Machine Learning & Deep Learning Compendium is an open knowledge-sharing project compiled using Gitbook.