Cognitive-Computing-Group / NEMO
Accompanying code repository for NEMO, A Database for Emotion Analysis Using Functional Near-infrared Spectroscopy
☆12Updated last year
Alternatives and similar repositories for NEMO
Users that are interested in NEMO are comparing it to the libraries listed below
Sorting:
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆72Updated 5 months ago
- code for LMDA☆79Updated last year
- EEG 脑电 数据集 DEAP SEED☆28Updated 3 months ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆66Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆107Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated last year
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆18Updated 5 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆72Updated 3 years ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆39Updated 10 months ago
- ☆24Updated 2 years ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆26Updated last week
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆69Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated this week
- [TAFFC-2022] PyTorch implementation of TSception v2☆118Updated last year
- DL model estimating vigilance levels using multimodal EEG and EOG☆27Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆47Updated last month
- ☆30Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆57Updated last year
- A fundamental exploration about EEG-BCI emotion recognition using the SEED dataset & dataset from kaggle.☆10Updated last year
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆14Updated 2 years ago
- Bimodal emotion database developed by Affective Information Processing Lab at Southeast University (AiplSeu)☆10Updated 2 months ago
- ☆36Updated 11 months ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆107Updated 2 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- EEG-based emotion classification using DEAP dataset☆139Updated 2 years ago
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆28Updated last year