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linvwv's Projects
detecting_dementia_stairs
Detecting Dementia through Gait Analysis using Machine Learning
gendis
Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
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.
human-ga-acc-dataset
Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up and down, sitting down, and so on; and the data recorded are segmented and annotated. Data were collected from a body sensor network consisting of six wearable inertial sensors (accelerometer and gyroscope) located on the right and left thighs, shins, and feet. Additionally, two EMG sensors were used on the quadriceps (front thigh) to measure muscle activity.
multivariate-time-series-models-in-keras
This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.
person-authentication-sex-and-bmi-class-prediction-using-knn-rf
MHC Gait work on the Sherlock Cluster
shaplets-python
Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient descent.
tcn
Sequence modeling benchmarks and temporal convolutional networks
tensorflow-learning
B站上炼数成金的公开课笔记
tensorflow-on-android-for-human-activity-recognition-with-lstms
iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android
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