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}

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"

Code for ANA at SemEval-2019 Task 3

A python script to process raw ECG signals and impute the peaks and heartbeats following noise suppression to obtain processed ECG