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Chonnam National University
- Gwangju, South Korea
- https://symplykaren.github.io/webpage/
- @Symplykaren
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Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
This repo contains implementation of different architectures for emotion recognition in conversations.
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
[ACL'19] [PyTorch] Multimodal Transformer
A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension…
Python Data Anonymization & Masking Library For Data Science Tasks
This repository contains the code for the paper `End-to-End Multimodal Emotion Recognition using Deep Neural Networks`.
Proceed with text detection only in the selected area of the image
Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus
An implementation of vggish in keras with tf backend
Automatic information extraction from identity card with ocr
Baseline scripts for the Audio/Visual Emotion Challenge 2019
scripts to model depression in speech and text
Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.org/doi/10.1145/2988257.2988267), AVEC 2016}
A program to align rotated id cards and extract user data from it.
This is the code for "Research to Code" By Siraj Raval on Youtube
Official source code for the paper: "It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"
Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"
Source code for the paper "Text-based Depression Detection: What Triggers An Alert"