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Machine Learning and Data Analytics Lab FAU

Username    mad-lab-fau
Date joined   Joined

19 projects

imucal

Last released

A Python library to calibrate 6 DOF IMUs

tpcp

Last released

Pipeline and Dataset helpers for complex algorithm evaluation.

mobgap

Last released

A Python implementation of the Mobilise-D algorithm pipeline for gait analysis using IMU worn at the lower back.

eargait

Last released

*Eargait* provides a set of algorithms and functions to process IMU data recorded with ear-worn IMU sensors and to estimate characteristic gait parameters.

open-sync-board-gui

Last released

None

gaitmap-mad

Last released

Specific algorithm implementaions by the mad_lab

gaitmap

Last released

The Gait and Movement Analysis Package - Your definite guide to reliable IMU based human movement analysis.

gaitmap-challenges

Last released

A set of benchmark challenges for IMU based human gait analysis

biopsykit

Last released

A Python package for the analysis of biopsychological data.

hpc_helper

Last released

Python package with helper functions for working with FAU's High Performance Cluster (HPC).

carwatch

Last released

A Python package for the CARWatch framework to improve cortisol awakening response sampling.

fau_colors

Last released

The official colors of FAU as matplotlib/seaborn colormaps

gaitmap-datasets

Last released

Helper to access to open-source gait datasets used by MaD-Lab

mad-gui

Last released

Python GUI for annotating and processing time series data.

fastami

Last released

A Monte Carlo approximation to the adjusted and standardized mutual information for faster clustering comparisons

mad-datasets

Last released

Helper to access to open-source gait datasets used by MaD-Lab

cft-analysis

Last released

Package for the analysis of Cold Face Test Data.

nilspodlib

Last released

A Python library to load and convert sensor data recorded by a NilsPod by Portablies.

sensor-position-dataset-helper

Last released

A helper for the SensorPositionDateset (recorded 2019, published 2021)

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