matthewvowels1 / Awesome_ML_for_mental_healthLinks
A curated list of awesome work on machine learning for mental health applications. Includes topics broadly captured by affective computing. Facial expressions, speech analysis, emotion prediction, depression, interactions, psychiatry etc. etc.
☆121Updated 4 years ago
Alternatives and similar repositories for Awesome_ML_for_mental_health
Users that are interested in Awesome_ML_for_mental_health are comparing it to the libraries listed below
Sorting:
- Multimodal Deep Learning Framework for Mental Disorder Recognition @ FG'20☆39Updated 2 years ago
- Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the …☆1Updated 4 years ago
- An evolving list of electronic media data sets used to model mental-health status.☆424Updated 3 years ago
- A curated list of awesome affective computing 🤖❤️ papers, software, open-source projects, and resources☆176Updated 5 years ago
- Source code for the paper "Text-based Depression Detection: What Triggers An Alert"☆48Updated last year
- Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed…☆93Updated 3 years ago
- Classifying Audio to Emotion☆28Updated 5 years ago
- Detecting depression in a conversation using Convolutional Neral Network☆71Updated 4 years ago
- Depression Detection from Speech☆34Updated 8 years ago
- scripts to model depression in speech and text☆72Updated 5 years ago
- Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython☆61Updated 4 years ago
- The first asian machine learning in Jeju Island, South Korea - Project☆71Updated 5 years ago
- Deception and emotion detection via audio and video.☆37Updated 5 years ago
- ☆33Updated 2 years ago
- Detect Depression from Social Network Using Deep learning☆25Updated 6 years ago
- Python code for Depression Detection using variuos machine learning algorithms and Twitter dataset for detecting depression from sentimen…☆22Updated 3 years ago
- Contains links to publicly available datasets for modeling health outcomes using speech and language.☆122Updated last year
- Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)☆417Updated last year
- Predicting depression from acoustic features of speech using a Convolutional Neural Network.☆309Updated 6 years ago
- Time series course Fall 2019 project☆53Updated 4 years ago
- TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18☆289Updated last year
- Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus☆177Updated last year
- depression detection by using tweets☆28Updated 6 years ago
- Final Group ProjeDetecting Human Emotions Using Natural Language Processing UCB Data Analytics☆21Updated 9 months ago
- Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.☆138Updated 4 years ago
- Automatic Depression Detection by Multi-model Ensemble. Based on DAIC-WOZ dataset.☆34Updated 4 years ago
- Human Emotion Understanding using multimodal dataset.☆99Updated 4 years ago
- 🔆 📝 A reading list focused on Multimodal Emotion Recognition (MER) 👂👄 👀 💬☆121Updated 4 years ago
- Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach☆19Updated 2 years ago
- ☆90Updated 2 years ago