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100-days-of-ml-code

100 Days of ML Coding

aerial-ris

Tri Nhu Do, Georges Kaddoum, Thanh Luan Nguyen, Daniel Benevides da Costa, and Zygmunt J. Haas, "Aerial Reconfigurable Intelligent Surface-Aided Wireless Communication Systems," IEEE PIMRC, 2021

age-and-gender-classifier

Implement Multi-Task Learning on a human images dataset to build an age estimator and a gender classifier deep learning model.

aiprogramming

AI Programming with Python Nanodegree Program: https://www.udacity.com/course/ai-programming-python-nanodegree--nd089

babyrobot

A Baby Robot's Guide to Reinforcement Learning

blocking_mmwave

cd0025-supervised-learning

Project code for cd0025 Supervised Learning

contextualbandits

Python implementations of contextual bandits algorithms

creating-multi-task-models-with-keras

I created a Deep Learning Model which can do multiple task at a same time using tensorflow and keras.

data-structures-and-algorithms-nanodegree

datacamp_repo

Project repo from datacamp

deep-reinforcement-learning

deep-reinforcement-learning-gym

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

direction-of-arrival-estimation-for-radar

In this repository, w implement a direction of arrivals (DoA) classic and super-resolution algorithms such Multi-signals Classification (MUSIC) and estimation of signal parameters via rotational invariant techniques (ESPRIT)

disease-detection-using-chest-xrays

For the demo. Click on the link.

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

drl-wireless-networks

Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events

dynamic-adr-spreading-factor-and-power-in-lora-networks

This repository contains code related to the analysis of LoRaWAN network simulation results based on an "Dynamic Spreading Factor and Power Allocation of LoRa Networks for Dense IoT Deployments" paper.

effect-of-deep-transfer-and-multi-task-learning-on-sperm-abnormality-detection

This repository includes codes and models of "Effect of Deep Transfer and Multi task Learning on Sperm Abnormality Detection" paper.

gan-cov-matrix

Code for paper "Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave System"s

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

har-joint-model

AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors

iot-mab

Decentralized Intelligent Resource Allocation for LoRaWAN Networks

lora-capture-calcs

Simulations for estimating the effect of packet capture in LoRaWAN networks.

lora-georgiou-raza

Script for Georgious & Raza's LoRa model

lora-mesh-network

Simulator and demonstrator of a LoRa mesh network

lora-model

Model for LoRa networks with single or multiple gateways, quasi-orthogonality considerations, duty-cycling and channel variations.

lora-network-simulator

Customizable discrete-event simulator for evaluating the scalability of LoRa networks

loraenergysim

LoRa Network Simulator to Monitor Energy Consumption

loranet

High precision FMCW localization by using deep neural network