ptirupat / ThoughtViz
Implementation for the paper https://dl.acm.org/citation.cfm?doid=3240508.3240641
☆47Updated last year
Alternatives and similar repositories for ThoughtViz:
Users that are interested in ThoughtViz are comparing it to the libraries listed below
- Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]☆38Updated last year
- EEG2IMAGE: Image Reconstruction from EEG Brain Signals. [ICASSP 2023]☆78Updated 2 weeks ago
- ☆96Updated 4 years ago
- Use DNNs to build encoding models of EEG visual responses.☆77Updated 3 weeks ago
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆137Updated 3 months ago
- Using vision-language models to decode natural image perception from non-invasive brain recordings.☆119Updated last month
- ☆40Updated 4 years ago
- Reconstructing Visual Percepts from EEG☆28Updated 3 weeks ago
- ☆9Updated 3 weeks ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆104Updated 5 months ago
- NeurIPS 24, decoding video from EEG signals☆62Updated 2 months ago
- The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.☆28Updated 2 months ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆65Updated 4 months ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆65Updated 3 weeks ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆115Updated last year
- ☆129Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆237Updated last week
- ☆59Updated last year
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆42Updated 4 months ago
- ☆73Updated 2 years ago
- ☆33Updated last month
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆69Updated 2 years ago
- code for LMDA☆78Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆158Updated 5 years ago
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆45Updated last year
- The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.☆67Updated 2 years ago
- Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs☆14Updated 3 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago