Qu Tang's repositories
hexo-theme-cutie
A hexo theme called cutie
arus-components-hci
arus plugins that include streams, pipelines and broadcasters that may include human computer interactions through GUI, voice or other interfaces.
hexo-theme-cutie-demo
Demo site and instructions for hexo theme cutie
arus-stream-metawear
arus package plugin to build the metawear stream
bayesian_changepoint_detection
Methods to get the probability of a changepoint in a time series.
fuzzywuzzy
Fuzzy String Matching in Python
hand_hygiene_dataset_cleanup
Script to clean up hand hygiene dataset
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.)
jupyter_notebook_articles
Articles written in Jupyter Notebooks
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.
mbient-streaming-js
mbient streaming through bluetooth in js
mixture-of-experts
A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models
tang_pervhealth_14
Dataset and source codes for "Automated Detection of Puffing and Smoking with Wrist Accelerometers" published at Pervasive Health 14'
randd-cookiecutter
A cookiecutter for research and development
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'
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
padar_features
Discarded. See https://github.com/qutang/arus
privateGPT
Interact privately with your documents using the power of GPT, 100% privately, no data leaks
recommenders
Best Practices on Recommendation Systems
Stone-Soup
A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.