Jianxiang-Wang / Pytorch-code-for-time-series-classification
Pytorch code for mutil-channel time series dataset. You can use this project to train LSTM to classify such data.
☆12Updated 4 years ago
Alternatives and similar repositories for Pytorch-code-for-time-series-classification
Users that are interested in Pytorch-code-for-time-series-classification are comparing it to the libraries listed below
Sorting:
- ☆50Updated 2 years ago
- Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.☆76Updated last month
- Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"☆29Updated 4 years ago
- Classification of Fatigue in Consumer-grade EEG Using Entropies as Features☆17Updated 4 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Updated 4 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆176Updated last week
- SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging☆53Updated 3 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆34Updated last year
- This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of dr…☆12Updated last year
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆3Updated 3 years ago
- Fuzzy Deep Neural Network.☆56Updated 2 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆39Updated 4 months ago
- 基于小波变换和卷积神经网络的脑电运动成像信号分类☆45Updated 4 years ago
- A list of papers for physiological signal classification using machine learning/deep learning.☆236Updated 2 years ago
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆40Updated last year
- Reimplementation of the paper Sarkar and Etemad 2020 "Self-Supervised ECG Representation Learning for Emotion Recognition"☆31Updated 3 years ago
- ☆23Updated 2 years ago
- 本科毕业设计，基于Transformer的运动想象脑电信号分类，采用CNN+Transformer框架，CNN提取局部时间空间特征，Transformer提取全局依赖☆30Updated last year
- ☆53Updated 3 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Updated 4 years ago
- Modified transformer network utilizing the attention mechanism for time series or any other numerical data. 6.100 project at MIT Media La…☆57Updated 4 years ago
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆46Updated last year
- A CNN + LSTM architecture to predict seizure from EEG data☆44Updated 2 years ago
- This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Grap…☆25Updated last year
- EEG emotion recognition based on Temporal convolutional network☆24Updated 6 years ago
- ☆60Updated 5 years ago
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 6 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 10 months ago
- Implementation of ConvLSTM in pytorch applied for BCI (Brain Machine Interface) following paper: Convolutional LSTM Network-A Machine Lea…☆102Updated 4 years ago
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆19Updated 4 years ago