Alternatives and similar repositories for eeg-pytorch:

Users that are interested in eeg-pytorch are comparing it to the libraries listed below

• jordan-bird / eeg-feature-generation
  Generate statistical features from Electroencephalographic data
  ☆86Updated 2 years ago
• hubertjb / dl-eeg-tutorial
  Hands-on tutorial on deep learning for EEG classification.
  ☆70Updated 8 months ago
• berdakh / mne-codes
  Youtube codes
  ☆25Updated last year
• hauke-d / cnn-eeg
  CNN classifier to classify MI-EEG signals
  ☆47Updated 5 years ago
• AliAbyaneh / Extracting-Image-from-EEG-signals
  ☆40Updated 4 years ago
• Pooria90 / EEG-Motor-Imagery-Analysis
  The codes that I implemented during my B.Sc. project.
  ☆22Updated 2 years ago
• SuperBruceJia / EEG-Motor-Imagery-Classification-CNNs-TensorFlow
  EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
  ☆211Updated 7 months ago
• robintibor / braindecode
  Moved to https://github.com/TNTLFreiburg/braindecode!
  ☆60Updated 4 years ago
• IoBT-VISTEC / Decoding-EEG-during-AO-MI-ME
  The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…
  ☆38Updated 5 months ago
• rootskar / EEGMotorImagery
  EEG motor imagery classification using convolutional neural networks
  ☆34Updated last year
• IoBT-VISTEC / EEGANet
  EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
  ☆32Updated 2 years ago
• edw4rdyao / eeg_mi_dl
  A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…
  ☆62Updated 5 months ago
• Raghav714 / EEG-Emotion-classification
  ☆103Updated 5 years ago
• nikk-nikaznan / SSVEP-Neural-Generative-Models
  Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…
  ☆66Updated 6 months ago
• shariharan205 / Motor-Imagery-Tasks-Classification-using-EEG-data
  Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data
  ☆79Updated 6 years ago
• hoechenberger / pybrain_mne
  Material for Pybrain 2020 MNE-Python workshop
  ☆129Updated 4 years ago
• ravikiran-mane / FBCNet
  FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface
  ☆121Updated last year
• mkfzdmr / Deep-Learning-based-Emotion-Recognition
  Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN
  ☆45Updated 3 years ago
• sari-saba-sadiya / EEGExtract
  A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…
  ☆64Updated 5 months ago
• redevaaa / Transformer-for-EEG
  modify self-attention model for EEG signal as input and image embedding layer as output
  ☆100Updated 5 years ago
• numediart / EEGLearn-Pytorch
  ☆130Updated 2 years ago
• prashanth-prakash / EEG-ANALYSIS-FOR-MOTOR-IMAGERY-APPLICATION
  ☆43Updated 5 years ago
• ncclabsustech / DeepSeparator
  Deep learning model for EEG artifact removal
  ☆63Updated 2 years ago
• zabir-nabil / eeg-rsenet
  Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
  ☆40Updated last year
• weilheim / EEG
  PyTorch EEG emotion analysis using DEAP dataset
  ☆76Updated 7 years ago
• ufvceiec / EEGRAPH
  EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.
  ☆137Updated last year
• zhangks98 / eeg-adapt
  Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
  ☆89Updated 2 years ago
• AlessioZanga / PyEEGLab
  Analyze and manipulate EEG data using PyEEGLab.
  ☆61Updated 4 years ago
• jinglescode / ssvep-multi-task-learning
  Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral visi…
  ☆36Updated 2 years ago