Qu Tang (qutang)

qutang

Geek Repo

Company:Northeastern University

Location:Shanghai, CN

Home Page:https://qutang.dev

Twitter:@nakeyixi

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Organizations
crowdgames
mHealthGroup

Qu Tang's repositories

hexo-theme-cutie

A hexo theme called cutie

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arus-components-hci

arus plugins that include streams, pipelines and broadcasters that may include human computer interactions through GUI, voice or other interfaces.

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hexo-theme-cutie-demo

Demo site and instructions for hexo theme cutie

.github

The default health files for qutang's projects

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arus-data

datasets for arus python package

arus-stream-metawear

arus package plugin to build the metawear stream

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hand_hygiene_dataset_cleanup

Script to clean up hand hygiene dataset

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ImageCaptioning.pytorch

image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)

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jupyter_notebook_articles

Articles written in Jupyter Notebooks

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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mbient-streaming-js

mbient streaming through bluetooth in js

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mHealth-GT3X-converter-public

A standalone app written in Java to convert raw Accelerometer data from GT3X File Format into mHealth format. Supports both the NHANES-GT3X format (V1) and the newest GT3X-File format (V2).

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mhealth-visualizer-r

R package to visualize sensor data and annotations stored in mhealth format

mixture-of-experts

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

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tang_pervhealth_14

Dataset and source codes for "Automated Detection of Puffing and Smoking with Wrist Accelerometers" published at Pervasive Health 14'

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stereotypy_ubicomp_14

Source codes for "Moving towards a real-time system for automatically recognizing stereotypical motor movements in individuals on the autism spectrum using wireless accelerometry." published in Ubicomp 14'

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tang_msse_2020

Source codes and dataset for "Multi-site sensing for activity recognition using accelerometers" published in Medicine and Science in Sports and Exercise 2020

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omniglot

Omniglot data set for one-shot learning

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padar_converter

Converters for third-party sensors to mhealth format for padar package

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padar_features

Discarded. See https://github.com/qutang/arus

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padar_parallel

Discarded. See https://github.com/qutang/arus

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padar_realtime

Discarded. See https://github.com/qutang/arus

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pymetawear

Community developed SDK around the Python bindings for the C++ SDK

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