Alternatives and similar repositories for Master:

Users that are interested in Master are comparing it to the libraries listed below

• nikk-nikaznan / Subject-Invariant-SSVEP-GAN
  Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …
  ☆41Updated 9 months ago
• sari-saba-sadiya / EEG-Channel-Interpolation-Using-Deep-Encoder-Decoder-Networks
  Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"
  ☆25Updated 2 years ago
• dfreer15 / DeepEEGDataAugmentation
  Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…
  ☆28Updated 4 years ago
• krishk97 / ECE-C247-EEG-GAN
  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
• JinY97 / GCTNet
  ☆15Updated 4 months ago
• meetxinzhang / EEG-ConvTransformer
  This is a community implementation of EEG-ConvTransformer
  ☆18Updated last year
• MischaRauch / Stable_Diffusion_on_EEG_Signals
  Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification
  ☆20Updated last year
• flower-kyo / Tinysleepnet-pytorch
  TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG
  ☆29Updated 3 years ago
• XueJiang16 / ssl-torch
  ☆37Updated 4 years ago
• zhengqq / DRDA_EEG
  ☆13Updated 3 years ago
• EdgarMoyete / EEG-Classification-with-CNN
  Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…
  ☆47Updated 2 years ago
• arkanivasarkar / EEG-Data-Augmentation-using-Variational-Autoencoder
  Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
  ☆41Updated 4 months ago
• sucv / EEGNet_Pytorch_Implementation
  Pytorch implementation of EEGNet.
  ☆45Updated 2 years ago
• MiaoZhengQing / LMDA-Code
  code for LMDA
  ☆77Updated last year
• High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classification
  Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper
  ☆37Updated 3 years ago
• ziyujia / Signal-feature-extraction_DE-and-PSD
  Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.
  ☆79Updated 4 years ago
• basel-shehabi / EEG-Synthetic-Data-Using-GANs
  This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…
  ☆50Updated 4 years ago
• doc-ycm / EEG-ATCNet-pytorch
  ☆16Updated last year
• anthonyesp / channel_selection
  Some studies regarding the selection of optimal channels in a BCI based on motor imagery
  ☆12Updated last year
• GeometricBCI / Tensor-CSPNet-and-Graph-CSPNet
  This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
  ☆64Updated 2 weeks ago
• BUVANEASH / EEG-Motor-Imagery-Classification---ANN
  Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction
  ☆83Updated 3 years ago
• bruAristimunha / Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-Models
  Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.
  ☆43Updated last year
• haird4426 / motor-imagery-classification
  BCI Competition IV dataset 2a
  ☆27Updated 5 years ago
• roseDwayane / AIEEG
  using unet to reconstruct signal
  ☆30Updated last year
• CHEN-XDU / GMSS
  This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
  ☆70Updated 2 years ago
• Pooria90 / EEG-Motor-Imagery-Analysis
  The codes that I implemented during my B.Sc. project.
  ☆22Updated 3 years ago
• ptr-h / EEG-GANs
  Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs
  ☆14Updated 3 years ago
• High-East / BCI-ToolBox
  Deep Learning pipeline for motor-imagery classification.
  ☆59Updated 3 years ago
• eeg-augmentation-benchmark / eeg-augmentation-benchmark-2022
  Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…
  ☆42Updated 2 years ago
• esantamariavazquez / EEG-Inception
  Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing
  ☆39Updated last year