activeharnet

ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition

alibi-detect

Algorithms for outlier, adversarial and drift detection

an-automatic-nucleus-segmentation-and-cnn-model-based-classification-method-of-white-blood-cell

WBC nucleus segmentation, localization on BCCD, ALL-IDB2, JTSC, and CellVision datasets, and CNN model-based classification on BCCD database

cnn-hyperparameter-optimization-algorithms-for-sensor-based-human-activity-recognition

dermatologist_ai_udacity_ppb

In this project, you will design an algorithm that can visually diagnose melanoma, the deadliest form of skin cancer.

dynamicwhar

The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted by PACM IMWUT / UbiComp 2022.

facial-keypoint-detection-udacity-ppb

Detecting 68 keypoints (coordinates (x,y)) of face on a dataset extracted from Youtube Faces Dataset

har-gcnn

Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022

har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

harnet

HARNet: Towards On-Device Incremental Learning using Deep Ensembles on Constrained Devices for Human Activity Recognition

harnet-on-device-deep-learning-for-human-activity-recognition

html-css-course-2022

human-activity-recognition-lstm-cnn

image_captioning_udacity_ppb

Project: Image Captioning

imu-human-activity-recognition

isplinception

This is the companion repository for our paper iSPLInception: Redefining the State-of-the-Art for Human Activity Recognition which will be published in IEEE Access - 2021.

markdown_guide

Guideline on formatting and styling writings in markdown

medical-data

mit_idss_scc_ds_ml_mddd_ppb

An online program on Data Science and Machine Learning: Mkaing Data Driven Decision from Institute for Data, Systems, and Society (IDSS), MIT Schwarzman College of Computing

neurokit

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

ofsite

openFrameworks web site

parthapratimbanik

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

pyhealth

A Deep Learning Python Toolkit for Healthcare Applications.

reinforced-genetic-algorithm

Structure-based Drug Design; Reinforcement Learning and Genetic Algorithm

slam_udacity_ppb

A mini project on Landmark Detection & Robot Tracking by implementing Simultaneous Localization and Mapping (SLAM) for 2D world.