AniketRajpoot / Emotion-Recognition-TransformersLinks
SOTA methods for performing emotion classification using Transformers.
☆21Updated 2 years ago
Alternatives and similar repositories for Emotion-Recognition-Transformers
Users that are interested in Emotion-Recognition-Transformers are comparing it to the libraries listed below
Sorting:
- ☆32Updated 2 years ago
- ☆37Updated 9 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 4 months ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆67Updated last year
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆83Updated 2 months ago
- ☆31Updated 6 months ago
- ☆25Updated 9 months ago
- code for LMDA☆84Updated 2 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆22Updated 2 years ago
- ☆19Updated 5 months ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆58Updated 3 months ago
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆12Updated 2 years ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆16Updated 3 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆50Updated 3 months ago
- ☆15Updated last year
- IEEE Transactions on Emerging Topics in Computational Intelligence☆67Updated 5 months ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆22Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆76Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆117Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆100Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆79Updated 3 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆26Updated 4 months ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- ☆21Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆19Updated 2 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆61Updated 2 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆32Updated 6 months ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated 2 years ago