tcchriszhao's repositories
-radar-prmt-android
Application to be run on an Android device to interact with the wearable devices & phone sensors for passive data streaming
AcquisitionEEG2020
EEG Acquisition board software, PCB design files and documentation.
androidSensorServer
Android app which stream phone's motion sensors to websocket clients ( PC , raspberry pi , arduino , webbrowser etc ) over Wi-Fi and USB
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
awesome-open-gpt
Collection of Open Source Projects Related to GPT，GPT相关开源项目合集🚀、精选🔥🔥
chatgpt-on-wechat-1
基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。
DepressionEstimation
Bachelor Thesis - Deep Learning-based Multi-modal Depression Estimation
EEG-Datasets
A list of all public EEG-datasets
EEG-emotions
Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and learning using Sklearn tool.
EEG-Feature-Extraction-Toolbox
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
featuretools
An open source python library for automated feature engineering
mobile-aloha
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
motor_activity_DepressionDetection
My final year dissertation project. This project takes motor activity data from a control group and a condition group. The data is filtered, cleaned and transformed for appropriate use to find the "best" classification algorithm to identify depressed patients from non-depressed patients
Multimodal-Emotion-Recognition
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
OpenSelfSup
Self-Supervised Learning Toolbox and Benchmark
Predicting-Depression
Project using machine learning to predict depression using health care data from the CDC NHANES website. A companion dashboard for users to explore the data in this project was created using Streamlit. Written with python using jupyter notebook for the main project flow/analysis and visual studio code for writing custom functions and creating the dashboard.
radar-android-phone
Basic phone sensor plugin for RADAR passive remote monitoring app