kosar-naghavi

kosar-naghavi's Stars

• leriomaggio/deep-learning-keras-tensorflow

  Introduction to Deep Neural Networks with Keras and Tensorflow

  Language:Jupyter Notebook2.9k199171.3k

• allenai/natural-instructions

  Expanding natural instructions

  Language:Python95621161190

• leerob/mastering-nextjs

  A free video course for building static and server-side rendered applications with Next.js and React.

  Language:JavaScript568132127

• healthDataScience/deep-learning-HAR

  Convolutional and LSTM networks to classify human activity

  Language:Jupyter Notebook456379238

• Shahnawax/HAR-CNN-Keras

  Human Activity Recognition Using Convolutional Neural Network in Keras

  Language:Python20012690

• nesl/RadHAR

  Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar

  Language:Python159111252

• sarikayamehmet/cnn-bilstm-attention

  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)

  Language:Jupyter Notebook703213

• takumiw/Deep-Learning-for-Human-Activity-Recognition

  Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

  Language:Jupyter Notebook635216

• yolish/har-with-imu-transformer

  Intertial-based Human Activity Recognition with Transformers

  Language:Python625221

• mariusbock/dl-for-har

  Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')

  Language:Jupyter Notebook506328

• DigitalBiomarkerDiscoveryPipeline/Human-Activity-Recognition

  Multimodal human activity recognition using wrist-worn wearable sensors.

  Language:Jupyter Notebook44344

• Koutoulakis/Deep-Learning-for-Human-Activity-Recognition

  Language:Python427418

• jpnm561/HAR-UP

  Multimodal System for Fall Detection

  Language:Python414513

• PacktPublishing/Progressive-Web-Apps-PWA---The-Complete-Guide

  Code Repository for Progressive Web Apps (PWA) - The Complete Guide, Published by Packt

  Language:JavaScript406132

• aiff22/HAR

  Language:Python354422

• mehrdadfazli/HHAR-Net

  Applying a hierarchical Deep Learning to sensor stream data collected from smartphones and smartwatches to recognize the activity of users.

  Language:Python31516

• ntnu-ai-lab/harth-ml-experiments

  Baseline Machine Learning models for the Human Activity Recognition Trondheim (HARTH) dataset

  Language:Python23918

• kakshak07/Human-Activity-Recogntion

  Human activity recognition, or HAR, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.

  Language:Jupyter Notebook18203

• G0rav/Human_Activity_Recognition

  The MHEALTH (Mobile Health) dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal body sensing.

  Language:Jupyter Notebook17203

• Devashi-Choudhary/AI_Sudoku_Solver

  Language:Python163210

• dilbwagsingh/HAR-using-Federated-Learning

  Language:Jupyter Notebook12113

• Juneeee98/Realtime-Fall-Dectection-and-Human-Activity-Recognition-Using-MLP

  Realtime Fall Detection and Human Activity Recognition using Multilayer Perceptron Neural Network from gyroscope and accelerometer sensor sent from a ESP-32 Microcontroller

  Language:Python9115

• akhuperkar/HAR-Smartphone-Accelerometer

  Human Acitivity Recognition Using Machine Learning

  Language:Jupyter Notebook7303

• apusarkar2195/HAR_WaveletTransform_SpatialAttention_FeatureSelection

  Language:Jupyter Notebook7101

• cwi-dis/mobile-har-tutorial

  Tutorial on Human Activity Recognition (HAR) using Keras to build intelligent mobile interfaces

  Language:Jupyter Notebook71205

• cmgchess/facemash-v2

  facemash? sorta ¯\_(ツ)_/¯

  Language:JavaScript4102

• Vincexodus/Facemash

  Website from 'The Social Network' in comparing farm animals instead of people.

  Language:JavaScript4100

• Masrur02/AM_DLFC

  Language:Jupyter Notebook3002

• marcusnk237/lstm_har

  Human Activity Recognition (HAR) using smartphones dataset and an LSTM RNN

  Language:Jupyter Notebook2200

• KrzysiekJa/ML-project-on-HAR-Dataset

  Project created with use of jupyter notebook on HAR dataset. Focused on making decision.

  Language:Jupyter Notebook10