BrainToSpeech / tutorialsLinks
brain to speech
☆10Updated last month
Alternatives and similar repositories for tutorials
Users that are interested in tutorials are comparing it to the libraries listed below
Sorting:
- Deep Learning pipeline for motor-imagery classification.☆62Updated 3 years ago
- Python library to compute functional connectivity measures from EEG☆11Updated 2 years ago
- ☆54Updated last year
- [IEEE Access] A Novel Negative-sample-free Contrastive Self-Supervised Learning for EEG-Based Motor Imagery Classification☆11Updated 10 months ago
- Imagined speech recognition using EEG signals. KaraOne database, FEIS database.☆20Updated 5 months ago
- This code repository collects the source code of the representative deep learning-based MI-EEG models and runs a leaderboard to fairly co…☆14Updated 7 months ago
- MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition☆20Updated last year
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆24Updated last year
- An open software package dedicated for the development of Brain-Computer Interfaces with various advanced pattern recognition algorithms☆212Updated 2 years ago
- [IEEE JBHI 2025] DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding☆33Updated last month
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆186Updated 5 months ago
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆48Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆49Updated last year
- BCI Competition IV dataset 2a☆31Updated 6 years ago
- EEG to Language through LLMs☆88Updated 10 months ago
- Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]☆53Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆82Updated last year
- ☆13Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated 2 months ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆226Updated last month
- EEG motor imagery classification using convolutional neural networks☆42Updated 2 years ago
- Implements High-Gamma dataset decoding using Filter Bank Common Spatial Pattern with rLDA classification and Neural Networks.☆11Updated 6 years ago
- ☆46Updated 8 months ago
- ☆29Updated 3 months ago
- An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learni…☆403Updated last year
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆70Updated 10 months ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆226Updated 2 years ago
- Generate statistical features from Electroencephalographic data☆95Updated 3 years ago
- EEG-based emotion classification using DEAP dataset☆155Updated 2 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆66Updated 2 years ago