An unofficial pytorch implementation of the BiHDM model proposed by Yang et al. for decoding emotion from multi-channel EEG recordings, with scikit-learn compatibility.
☆15Apr 6, 2023Updated 2 years ago
Alternatives and similar repositories for BiHDM_pytorch
Users that are interested in BiHDM_pytorch are comparing it to the libraries listed below
Sorting:
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆23Dec 14, 2024Updated last year
- Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition☆16Apr 30, 2024Updated last year
- Official code on "Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition", Pattern Recognition 2022.☆16Jun 29, 2022Updated 3 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Jun 5, 2023Updated 2 years ago
- ☆19Mar 26, 2023Updated 2 years ago
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆19Jul 26, 2020Updated 5 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Mar 1, 2021Updated 5 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆83Apr 7, 2022Updated 3 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆47Dec 30, 2024Updated last year
- [AAAI 2023] Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis☆42Oct 4, 2023Updated 2 years ago
- A pytorch implementation of the AAAI2021 paper GraCapsNet: Interpretable Graph Capsule Networks for Object Recognition☆10Oct 2, 2022Updated 3 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆184Oct 8, 2022Updated 3 years ago
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Dec 11, 2020Updated 5 years ago
- ☆11May 20, 2023Updated 2 years ago
- Code for paper "Source Data and Target Annotations Agnostic Transferability Representation for Source-Free Unsupervised Domain Adaptatio…☆14Jun 7, 2024Updated last year
- Statistical comparison study of valence-arousal classifiers from EEG signals on DEAP and MANHOB datasets☆12Sep 28, 2022Updated 3 years ago
- Multi-Source Affective Classification EEG Framework with Private Encoders☆14May 4, 2022Updated 3 years ago
- Hybrid Sequential Forward Channel Selection (HSFCS)☆10Jan 11, 2024Updated 2 years ago
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆51Aug 6, 2023Updated 2 years ago
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆15Sep 21, 2020Updated 5 years ago
- ☆13Jan 19, 2019Updated 7 years ago
- This is a Pytorch implementation of the 2014 paper named Domain Adversarial Training of Neural Networks☆10Jul 17, 2020Updated 5 years ago
- This is the project of my undergraduate thesis, an enhanced Capsule Network that integrates EEG and ECG signals for improved emotion reco…☆13Jan 17, 2024Updated 2 years ago
- Multimodal Genuine Emotion and Expression Detection database☆12Jul 15, 2024Updated last year
- ☆13Aug 31, 2023Updated 2 years ago
- The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"☆214Oct 25, 2020Updated 5 years ago
- Implementation of "TS-JEPA"☆21Nov 17, 2024Updated last year
- ☆11Apr 14, 2021Updated 4 years ago
- AAAI 2024-Controllable Mind Visual Diffusion Model☆16Dec 18, 2023Updated 2 years ago
- The PyTorch code for paper: "CONSK-GCN: Conversational Semantic- and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotio…☆13Oct 21, 2022Updated 3 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆148Oct 2, 2023Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆69Sep 29, 2025Updated 5 months ago
- eeg based emotion classification transformer on DEAP data set☆15Feb 26, 2022Updated 4 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Jan 8, 2024Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆76Apr 30, 2024Updated last year
- Souce code of assignment 2 for course CS7327 at SJTU☆15Jun 21, 2022Updated 3 years ago
- Implementation of Brain Signal Classification via Learning Connectivity Structure☆17Jun 11, 2021Updated 4 years ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆76May 30, 2022Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆78Feb 22, 2023Updated 3 years ago