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kbmajeed's Projects

adaptive_adrc icon 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 icon 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).

airsim icon airsim

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

awesome-cv icon awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

backstepping_quadrotor icon 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.

bert icon bert

TensorFlow code and pre-trained models for BERT

best_ai_paper_2020 icon 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

cadl icon cadl

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

cat_vs_noncat icon cat_vs_noncat

Classification of "Cat vs non-Cat" dataset using Deep neural networks. Compared to simple logistic regression, the DNN yields better classification accuracy. Performance of 70% with logistic regression, 72% with 2 layers, and 80% with a 4 layer network without tuning.

cizsl icon cizsl

Creativity Inspired Zero-Shot Learning

color_segmentation icon color_segmentation

An image is converted to the HSV color space for color based segmentation. The body tones can be used for tracking and AR applications.

csml_notes icon csml_notes

UCL MSc Computational Statistics and Machine Learning Revision Notes

d2l-en icon d2l-en

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

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