Implement simple EEG classification models which are EEGNet, DeepConvNet with BCI competition dataset
☆18Apr 24, 2020Updated 5 years ago
Alternatives and similar repositories for EEG-Classification
Users that are interested in EEG-Classification are comparing it to the libraries listed below
Sorting:
- 使用的pytorch编写的eegnet代码，方便现在进行调试☆28Sep 12, 2023Updated 2 years ago
- An EEG dichotomy program file , using CSP and SVM.☆27Jun 27, 2020Updated 5 years ago
- BCI Competition IV dataset 2a☆34Jun 8, 2019Updated 6 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆86Aug 3, 2024Updated last year
- EEGNet based on PyTorch☆15Aug 28, 2020Updated 5 years ago
- Pytorch/Python implementation of the joint CNN-LSTM deep learning model☆24Aug 3, 2021Updated 4 years ago
- 使用4D切片方式，利用深度学习从时、频、空间域进行EEG情绪识别解码☆28Feb 5, 2023Updated 3 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆360Jul 10, 2019Updated 6 years ago
- 运动想象分类模型---ATCNet，源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆28Feb 6, 2023Updated 3 years ago
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆24Sep 30, 2021Updated 4 years ago
- Deep Learning pipeline for motor-imagery classification.☆64Jan 9, 2022Updated 4 years ago
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆28Mar 9, 2022Updated 3 years ago
- ☆11Mar 14, 2023Updated 2 years ago
- Emotion analysis on DREAMER dataset using various Deep Learning Techniques☆13Jan 1, 2021Updated 5 years ago
- ☆14Jan 22, 2026Updated last month
- ☆102Nov 14, 2024Updated last year
- 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
- Example Projects for the Microsemi SmartFusion 2☆11Dec 10, 2017Updated 8 years ago
- Python implementation of the CSP algorithm☆11Mar 24, 2022Updated 3 years ago
- MOT based on LIDAR using imm-ukf-jpda algorithm☆12Dec 8, 2021Updated 4 years ago
- Lively_Vectors (LV) is a Matlab toolbox for analysing multivariate data. It can be used to build full pipelines from cleaning data to cla…☆13Nov 13, 2025Updated 3 months ago
- Semantic Lidar Odometry☆12May 1, 2020Updated 5 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆12May 2, 2023Updated 2 years ago
- a tool for identifying circular RNAs using RNA-Seq data☆12Aug 10, 2015Updated 10 years ago
- Verilog SDR SDRAM controller for FPGA Xilinx and Lattice☆17Jan 3, 2021Updated 5 years ago
- CORE-V eXtension Interface compliant RISC-V [F|Zfinx] Coprocessor☆13Nov 12, 2025Updated 3 months ago
- Includes the SVD-based approximation algorithms for compressing deep learning models and the FPGA accelerators exploiting such approximat…☆16Mar 3, 2023Updated 2 years ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Oct 25, 2022Updated 3 years ago
- This repository contains the python scripts developed as a part of the work presented in the paper "Low-latency auditory spatial attentio…☆10Sep 15, 2021Updated 4 years ago
- including compiler to encode DGL GNN model to instructions, runtime software to transfer data and control the accelerator, and hardware v…☆14Nov 19, 2023Updated 2 years ago
- Public EEG-based motor imagery (MI) datasets☆12Feb 1, 2024Updated 2 years ago
- Developed an best EEG Channel Selection Model Using Technique like MIMR☆10May 1, 2022Updated 3 years ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆58Jun 11, 2025Updated 8 months ago
- Eyeriss Hardware Accelerator for Machine Learning☆13May 29, 2022Updated 3 years ago
- HLS project modeling various sparse accelerators.☆12Jan 11, 2022Updated 4 years ago
- Differential entropy features of EEG dataset☆13Mar 28, 2023Updated 2 years ago
- Large-scale Data Classification based on the Integrated Fusion of Fuzzy Learning and Graph Neural Network☆13Nov 2, 2023Updated 2 years ago
- An FPGA design for simulating biological neurons☆17Jul 5, 2024Updated last year
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆56Jun 15, 2021Updated 4 years ago