Topic: depression Goto Github
Some thing interesting about depression
Some thing interesting about depression
depression,A Scraper that scrapes '#depression' tweets daily powered by GitHub action and snscrape (stopped at June 30,2023)
User: ahmedshahriar
depression,A mobile application to detect the depression level in patients by facial and Twitter analysis.
User: aksharbhayani
depression,Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)
User: ayaanzhaque
Home Page: https://ayaanzhaque.github.io/SDCNL/
depression,Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge)
User: ayaanzhaque
Home Page: https://suisense.space/
depression,Depression Detection from Speech
User: chanjunweimy
depression,A visual representation of depressive thoughts.
User: charlesstover
Home Page: https://charlesstover.github.io/im-fine/
depression,🙌 A website for uplifting quotes
User: dawsbot
Home Page: https://uplift.now.sh
depression,Virtual Reality Game Design | Tongji Univ. SSE Course Project
User: doublez0108
depression,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.
User: drpeterrohde
Home Page: https://www.moodsnap.app
depression,Genomic Structural Equation Modelling and Mendelian Randomization of Loneliness and Psychiatric/Substance Use Phenotypes
User: ellenmartin11
depression,Self-Diagnosis Tool for Depression
Organization: ephrine
depression,Healing self-talk through Node-based CLI
User: fyodorio
Home Page: https://dev.to/fyodorio/i-have-created-a-small-anti-depression-script-p4i
depression,Deep learning model of depression detection from activity sensor data
User: gaoyuanliang
depression,Analysis of regulatory impacts of GWAS SNPs associated with psychiatric disorders and cognitive functioning.
Organization: genome3d
depression,5chのうつ傾向があるメンタルヘルスとその他の違いをボキャブラリや代名詞の使い方から明らかにします
User: gink03
depression,R-script for the publication Testosterone and specific symptoms of depression: Evidence from NHANES 2011–2016, https://doi.org/10.1016/j.cpnec.2021.100044
User: gluschkoff
depression,:pensive: :disappointed: :persevere: :confounded: :weary: 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"
User: halolimat
depression,The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
Organization: harmonydata
Home Page: https://harmonydata.ac.uk
depression,Octahacks 3.0 - Team Coderaptors
User: harshitaggarwal01
depression,0.2 BTC settled on 1KfZGvwZxsvSmemoCmEV75uqcNzYBHjkHZ - Puzzle or Statement
User: homelessphd
depression,32 BTC Puzzle | BTC BruteForce Contest
User: homelessphd
depression,An official repo for the Don't Panic mobile App
User: ichlubna
depression,Detect Depression from Social Network Using Deep learning
User: isrugeek
depression,Simple mental health tools
User: joelanman
Home Page: https://thinqup.com
depression,
User: josegustavoo
Home Page: https://psycobot.vercel.app
depression,Predicting depression from acoustic features of speech using a Convolutional Neural Network.
User: kykiefer
depression,anatomical MRI
User: longzhiliang
depression,MetaPsyR: Access the Meta-Analytic Psychotherapy Database
User: mathiasharrer
Home Page: https://www.metapsy.org
depression,This repository contains the dataset 'DEPTWEET' published in the journal of Computers in Human Behavior.
User: mohsinulkabir14
depression,Emotion is an intuitive feeling which can be determined from any person’s circumstances and surroundings. But in this project, we tried to identify the emotional state of a person using his voice as input.
User: naresh21061999
depression,Official repository of Nepanikař (Don't Panic) mobile app for psychological first aid. It is designed and consulted with specialists to help with mental health problems.
Organization: nepanikar
Home Page: https://nepanikar.eu
depression,Depressive Detector iOS App
User: nezha3
depression,The first asian machine learning in Jeju Island, South Korea - Project
User: niquejoe
depression,A mental health quiz app to help individuals check in with themselves.
User: nitrotap
depression,This is an implementation of the attention-based hybrid architecture (Ghosh et al, 2023) for suicide/depressive social media notes detection.
User: nm001007
depression,Breathe is a mental health blogging app where users can join communities of doctors and other users from around the world and both share their problems as well as lend a ear to and help others
User: nuclearcactus
depression,The App aims at helping people to fight from depression and communicate with them at a 1-1 basis alongside giving them suggestions based on their choices which will be taken from the user in various formats such as MCQ for a one time basis and Diary entries of user on a daily basis. The app aims to help mainly people who are introvert and don't share their emotions easily with others who are depressed. we aim to ulift their emotions and make world a better place for them.
User: priyansh17
depression,The android app hosts chat rooms that facilitate group therapy sessions for people suffering from depression moderated by a chatbot.
User: rahul-jha98
depression,This repository applies Deep Learning techniques for depression detection in text, using LSTM, GRU, BiLSTM, BERT models, and a baseline FFNN. It also includes data visualizations, autoencoder semantics, KMeans clustering, and detailed performance comparisons.
User: ritabrata04
depression,Systems and Computational Neuroscience.(UCAS 2023)
User: rosalindfok
depression,🍙 A curated list of my favorite visual novels for Android
User: sergree
depression,Django web application made to cure the severe problem of depression among the people, it provide talk therapy by the means of chatbot which is train on Dialogflow i.e google cloud . It also has a message sending feature via mail . A motivational message will be sent to user at a prticular time to cheerup the users mood and brightup his day.
User: shainisoni1696
depression,Statistical analysis to identify the key factors that attribute to the progression of depressive symptoms
User: stereopickle
depression,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.
User: subhadipmaiti-dev
depression,Internet Delivered Treatment using Adaptive Technology
User: sureshhardiya
Home Page: https://skmukhiya.com.np
depression,Depression awareness and help site.
User: teslaldead
Home Page: https://talkaboutdepression.info
depression,A curated list of awesome mental health resources
Organization: theimpossibleastronaut
depression,爬取丁香园用药,有关抑郁症的用药大全.(记录对抗抑郁症的心路历程)
User: whalefell
depression,A chatbot that will make depressed people feel better, implemented in Android using IBM Watson. MenloHacks 2nd Place Winner and Best Use of IBM Watson API Winner.
User: zhang-edward
depression,Depression web app with text emotion/depression classification and personality/depression test using 4 deep learning models. Demonstrate end-to-end pipeline from training in Python to edge deployment in Typescript
User: ziqinyeow
Home Page: https://deprai.vercel.app/
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