leandronb

DeepConvLSTM

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

find

High-precision indoor positioning framework for most wifi-enabled devices.

LSTM-Human-Activity-Recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

mantine

React components library with native dark theme support

mdetect

movement-analysis

Classification of human movement based on accelerometer / gyro data from mobile phones

react_redux_toolkit

samsung_android_time_series_analysis

Some statistical analysis and prediction on Samsung android accelerometer and gyroscope data from the UCI machine learning repository.

yearn-finance-v3

Yearn Finance Web App v3