ccfco / External-Attention-tensorflowLinks
🍀 Tensorflow implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
☆40Updated last year
Alternatives and similar repositories for External-Attention-tensorflow
Users that are interested in External-Attention-tensorflow are comparing it to the libraries listed below
Sorting:
- Codes for the paper 'Automatic sleep staging by a hybrid model based on deep 1D-ResNet-SE and LSTM with single-channel raw EEG signals' h…☆23Updated last year
- This projected explored the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM to existin…☆10Updated last year
- The code for paper "A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification"☆27Updated 2 years ago
- ☆23Updated 4 years ago
- ☆24Updated last year
- Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.☆77Updated 2 months ago
- 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
- About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚☆136Updated last year
- Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.☆51Updated last year
- A demo of using Hilbert-Huang Transform (HHT) for non-stationary and non-linear signal analysis.☆102Updated 3 years ago
- ☆50Updated 2 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 3 years ago
- FastONN - Python based open-source GPU implementation for Operational Neural Networks☆27Updated last year
- This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Grap…☆25Updated last year
- ☆19Updated 5 years ago
- Remarkable performance of Deep Learning Models cann't be achieved without the massive data, this tool can help you to augment your time s…☆17Updated 5 months ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆17Updated 3 years ago
- A implementation of Gramian Angular Field (GAF) in Pytorch.☆16Updated 2 years ago
- A Keras Implementation of Coordinate Attention follows https://github.com/Andrew-Qibin/CoordAttention☆13Updated 3 years ago
- SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging☆53Updated 4 years ago
- One of the first implementations of Grad-CAM ++ for time series / 1d signal.☆16Updated 2 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆34Updated last year
- Implementation of paper: SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification☆12Updated 4 years ago
- Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals☆56Updated last year
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- 利用小波变换对信号进行去噪及反卷积处理☆15Updated 5 years ago
- Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"☆29Updated 4 years ago
- ☆12Updated last year
- Codes for our paper "Triple-Attention-based Spatio-Temporal-Spectral Convolutional Network for Epileptic Seizure Prediction "☆21Updated 2 years ago
- [Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification☆111Updated 2 months ago