Popular GitHub Repositories for Couple Stress

:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:

DockerComposeMaker (DCM) is a self-hostable website to help you pick and create a docker-compose.yml file for your home server. Discover new containers, discover and share a config in a couple of clicks!

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

DockerComposeMaker (DCM) is a self-hostable website to help you pick and create a docker-compose.yml file for your home server. Discover new containers, discover and share a config in a couple of clicks!

Attention-based bidirectional LSTM for Classification Task (ICASSP)

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Using the SWELL dataset from Kaggle, we've built 2 machine learning models to predict whether or not a person is under stress using Heart Rate Variability(HRV) which can be collected from modern wearables such as fitbit devices and apple watches.

Stress classifier with AutoML

Modified version of RusStress (https://github.com/MashaPo/russtress) — python package for placing stress in Russian text using RNN (BiLSTM) and the "Grammatical Dictionary" by A. A. Zaliznyak (from http://odict.ru/).

Deep Learning model for lexical stress detection in spoken English

This is a Text Analysis App which can be used to find a detailed analysis of a particular text. This includes 5 main types of Analysis - Spam/Ham Detection, Sentiment Analysis, Stress Detection, Hate & Offensive Content Detection, Sarcasm Detection

API to detect if user is stressed or not using ML.

Building a GPT-4 Q&A app using Azure OpenAI, Pinecone and Streamlit in just a couple of hours

This is a quickstart template to easily build and deploy a custom remote MCP server to the cloud using Azure functions. You can clone/restore/run on your local machine with debugging, and azd up to have it in the cloud in a couple minutes. The MCP server is secured by design.

VoiceStressAnalysis - Detects stress in your voice

Building a Q&A app (powered by a LLM model) using AWS Bedrock, AWS Kendra, AWS S3 and Streamlit in just a couple of hours

Predicting driver stress levels using Physionet's SRAD (drivedb) dataset with methods such as LSTMs, RNNs, CNNs

UTrack analyses the user's tweets and finds the level of Loneliness, Stress and Anxiety, and their trends over time

TensorFlow PINN study for a couple of Fokker-Planck equations.

Stress, anxiety, and depression are threatening the mental health of people. People often share their feelings on social media platforms like on Instagram in the form of posts and stories, and on Reddit in the form of asking for suggestions about their life on subreddits. So, here is my project to detect stress using people's messages as dataset.