Modified transformer network utilizing the attention mechanism for time series or any other numerical data. 6.100 project at MIT Media Lab.
☆58Nov 24, 2020Updated 5 years ago
Alternatives and similar repositories for EEG-Transformer-seq2seq
Users that are interested in EEG-Transformer-seq2seq are comparing it to the libraries listed below
Sorting:
- Time series forecast using deep learning transformers (simple, XL, compressive). Implementation in Pytorch and Pytorch Lightning.☆30Jul 9, 2020Updated 5 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102May 31, 2019Updated 6 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆87Sep 24, 2020Updated 5 years ago
- ☆14May 6, 2019Updated 6 years ago
- Master thesis subject: Leveraging Deep Learning for Real-time EEG Classification at Cybathlon's BCI-race☆15Mar 25, 2023Updated 2 years ago
- Adversarial Sparse Transformer for Time Series Forecasting☆140Jan 5, 2022Updated 4 years ago
- PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.☆60May 21, 2020Updated 5 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆331Mar 23, 2023Updated 2 years ago
- Implementation of the Slow Feature Analysis algorithm for unsupervised learning☆12Jul 25, 2022Updated 3 years ago
- Python implementation of the CSP algorithm☆11Mar 24, 2022Updated 3 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆320Nov 29, 2025Updated 3 months ago
- Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.☆77Apr 13, 2021Updated 4 years ago
- A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.☆1,137Jul 20, 2025Updated 7 months ago
- Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series☆49Jun 18, 2021Updated 4 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Sep 8, 2021Updated 4 years ago
- Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…☆30Oct 30, 2019Updated 6 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Mar 26, 2020Updated 5 years ago
- Transformer-based autoregressive varitional autoencoder☆12Feb 10, 2020Updated 6 years ago
- EEG physics models and adversarily trained RNNs for improved signal processing, data augmentation, and manifold generation.☆14May 19, 2020Updated 5 years ago
- Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction☆12Apr 20, 2018Updated 7 years ago
- Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.☆904Jun 2, 2023Updated 2 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆269Sep 26, 2023Updated 2 years ago
- ☆16May 16, 2019Updated 6 years ago
- ☆13Nov 13, 2024Updated last year
- eeg based emotion classification transformer on DEAP data set☆15Feb 26, 2022Updated 4 years ago
- A toolbox for EEG signals processing. Welcome to join and build!☆13Nov 9, 2022Updated 3 years ago
- 使用Transformer和CNN网络对脑电运动进行分类☆14May 5, 2023Updated 2 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
- ☆199Aug 5, 2022Updated 3 years ago
- Code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectrograms, using th…☆34Sep 2, 2022Updated 3 years ago
- tfts: Time Series Deep Learning Models in TensorFlow☆885Feb 26, 2026Updated last week
- Spectral Attention Autoregressive Model (SAAM)☆16Oct 27, 2022Updated 3 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Nov 2, 2020Updated 5 years ago
- For my current research.☆38Jun 26, 2018Updated 7 years ago
- time-series-predictoin(LSTNet,SAB,Transformer...)☆143Jan 2, 2019Updated 7 years ago
- Some customized keras layers used in Yoctol NLU.☆19Jun 26, 2017Updated 8 years ago
- Implementation of the Latent CCM paper☆18Jun 8, 2024Updated last year
- TST - Transformer Architecture for Time Series Data☆18May 14, 2020Updated 5 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Sep 12, 2020Updated 5 years ago