amakelany

Activity-recognition-using-Wi-Fi-CSI-data

This project involved recognizing activities like falling, running, sitting, walking using Wi-Fi based CSI data in lieu of traditional methods of wearables or cameras. It involved Wi-Fi data processing, feature extraction and creating a trained model for prediction.

Activity_Detection

Live Human Activity recognition using Tensorflow transfer learning model, OpenCV and numpy with a custom Dataset by scraping the web.

ARIL

Codes of paper: Joint Activity Recognition and Indoor Localization with WiFi Fingerprints

component-library

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Coursera-Machine-Learning-Stanford

Machine learning-Stanford University

csi

domain independent joint human activity and localization recognition with CSI - INRS

CSI-Activity-Recognition

Human Activity Recognition using Channel State Information

CSI-HAR-Dataset

A dataset for seven different daily activities

amakelany/Activity-recognition-using-Wi-Fi-CSI-data

This project involved recognizing activities like falling, running, sitting, walking using Wi-Fi based CSI data in lieu of traditional methods of wearables or cameras. It involved Wi-Fi data processing, feature extraction and creating a trained model for prediction.

amakelany/Activity_Detection

Live Human Activity recognition using Tensorflow transfer learning model, OpenCV and numpy with a custom Dataset by scraping the web.

amakelany/ARIL

Codes of paper: Joint Activity Recognition and Indoor Localization with WiFi Fingerprints

amakelany/component-library

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

amakelany/coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

amakelany/coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

amakelany/Coursera-Machine-Learning-Stanford

Machine learning-Stanford University

amakelany/csi

domain independent joint human activity and localization recognition with CSI - INRS

amakelany/CSI-Activity-Recognition

Human Activity Recognition using Channel State Information

amakelany/CSI-HAR-Dataset

A dataset for seven different daily activities

amakelany/CsiGAN

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

amakelany/datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

amakelany/DeathStarBench

Open-source benchmark suite for cloud microservices

amakelany/HAR-CNN-Keras

Human Activity Recognition Using Convolutional Neural Network in Keras

amakelany/Human-Activity-Recognition

Recognizing human activities using Deep Learning

amakelany/Human-Activity-Recognition-1

Problem Statement is to predict the human activity such as Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing or Laying.

amakelany/LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

amakelany/microservices-demo

Deployment scripts & config for Sock Shop

amakelany/On-device-activity-recognition

Personalized machine learning on the smartphone

amakelany/projects

amakelany/Using-neural-network-for-HAR

Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)

amakelany/Wifi_Activity_Recognition

Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)