Alternatives and similar repositories for Depression-Engine:

Users that are interested in Depression-Engine are comparing it to the libraries listed below

• Akshat2430 / Detecting-Depression-From-Speech-Signals
  Speech-based diagnosis of depression
  ☆28Updated 3 years ago
• derong97 / automatic-depression-detector
  Automatic Depression Detection by Multi-model Ensemble. Based on DAIC-WOZ dataset.
  ☆33Updated 4 years ago
• chanjunweimy / FYP_Submission
  Depression Detection from Speech
  ☆33Updated 7 years ago
• SaraS92 / CAE_ADD
  ☆10Updated last year
• linlemn / DepressionDectection
  ☆20Updated 8 months ago
• speechandlanguageprocessing / ICASSP2022-Depression
  Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus
  ☆161Updated last year
• notmanan / Depression-Detection-Through-Multi-Modal-Data
  Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the …
  ☆1Updated 4 years ago
• sukesh167 / Depression-Detection-in-speech
  Detecting depression in a conversation using Convolutional Neral Network
  ☆69Updated 4 years ago
• belal981 / depression-detection
  Depression-Detection represents a machine learning algorithm to classify audio using acoustic features in human speech, thus detecting de…
  ☆14Updated 4 years ago
• adbailey1 / DepAudioNet_reproduction
  Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.…
  ☆75Updated 3 years ago
• adbailey1 / daic_woz_process
  ☆61Updated last year
• hariharitha21 / Detection-of-Anxiety-and-Depression
  Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython
  ☆58Updated 3 years ago
• CMDC-corpus / CMDC-Baseline
  the baseline model of CMDC corpus
  ☆38Updated 2 years ago
• nextDeve / Depression-detect-ResNet
  depression-detect Predicting depression from AVEC2014 using ResNet18.
  ☆45Updated 9 months ago
• pg815 / Depression_Detection_Using_Machine_Learning
  Python code for Depression Detection using variuos machine learning algorithms and Twitter dataset for detecting depression from sentimen…
  ☆23Updated 3 years ago
• cosmaadrian / multimodal-depression-from-video
  Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"
  ☆59Updated 10 months ago
• AliceOTHMANI / EmoAudioNet
  Here the code of EmoAudioNet is a deep neural network for speech classification (published in ICPR 2020)
  ☆12Updated 4 years ago
• muzixingyun / LI-FPN
  LI-FPN is an excellent model for depression recognition based on facial expression.
  ☆16Updated 11 months ago
• RicherMans / text_based_depression
  Source code for the paper "Text-based Depression Detection: What Triggers An Alert"
  ☆48Updated last year
• PingCheng-Wei / DepressionEstimation
  Bachelor Thesis - Deep Learning-based Multi-modal Depression Estimation
  ☆66Updated last year
• cyZhu98 / depression_papers
  Papers using E-DAIC dataset (AVEC 2019 DDS)
  ☆30Updated last year
• kingformatty / NUSD
  ☆20Updated 5 months ago
• HimangiM / Depression_Detection
  Detecting depression levels in employees from videos of DAIC-WOZ dataset using LSTMs and Facial Action Units as input.
  ☆27Updated 6 years ago
• helang818 / LMVD
  ☆19Updated 10 months ago
• LouisYZK / dds-avec2019
  Detect Depression with AI Sub-challenge (DSS) of AVEC2019 experienment version via YZK
  ☆12Updated 3 years ago
• divertingPan / STA-DRN
  code for paper 'Spatial-Temporal Attention Network for Depression Recognition from Facial Videos'
  ☆28Updated 3 months ago
• cosmaadrian / time-enriched-multimodal-depression-detection
  Official source code for the paper: "It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"
  ☆53Updated last year
• RespectKnowledge / EEG_Speech_Depression_MultiDL
  ☆25Updated 9 months ago
• sidmulajkar / sentiment-predictor-for-stress-detection
  Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed…
  ☆94Updated 3 years ago
• julieeF / CS231N-Project
  ☆17Updated last year