Predicting depression from acoustic features of speech using a Convolutional Neural Network.

A curated list of awesome mental health resources

The first asian machine learning in Jeju Island, South Korea - Project

32 BTC Puzzle | BTC BruteForce Contest

😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)

MoodSnap mood diary. A free mood diary app with analytics for iOS, made for everybody, written with features for people with mood disorders in mind.

Internet Delivered Treatment using Adaptive Technology

Healing self-talk through Node-based CLI

A mental health quiz app to help individuals check in with themselves.

Depression Detection from Speech

Official implementation of the affective mobile sensing system called FacePsy proposed in the article "FacePsy: An Open-Source Affective Mobile Sensing System - Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings".

Detect Depression from Social Network Using Deep learning

A Scraper that scrapes '#depression' tweets daily powered by GitHub action and snscrape (stopped at June 30,2023)

A visual representation of depressive thoughts.

This project develops a Depression Detection System using Machine Learning on Twitter data. It predicts depression by analyzing tweets with SVM, Logistic Regression, Decision Trees, and NLTK in Python.

Octahacks 3.0 - Team Coderaptors

Deep learning model of depression detection from activity sensor data

0.2 BTC settled on 1KfZGvwZxsvSmemoCmEV75uqcNzYBHjkHZ - Puzzle or Statement