Eegadversary
This is a toolbox to construct adversarial examples of EEG signals. The traditional EEG extraction methods and classifiers are re-implemented in Tensorflow.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Arl Eegmodels | 622 | 2 years ago | 6 | other | Python | |||||
| This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow | ||||||||||
| Eeg Dl | 563 | a year ago | 10 | May 13, 2020 | 4 | mit | Python | |||
| A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow. | ||||||||||
| Eeg Motor Imagery Classification Cnns Tensorflow | 118 | a year ago | Python | |||||||
| EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow | ||||||||||
| Sleepeegnet | 106 | 3 years ago | 13 | Python | ||||||
| SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach | ||||||||||
| Autosleepscorer | 86 | 2 years ago | 14 | agpl-3.0 | Python | |||||
| An open-source sleep stage classification Python package | ||||||||||
| Tinysleepnet | 76 | 8 months ago | 3 | apache-2.0 | Python | |||||
| TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively | ||||||||||
| Neurodoro | 43 | 6 years ago | 7 | mit | Jupyter Notebook | |||||
| :tomato: A dynamic brain-responsive pomodoro timer | ||||||||||
| Eeg_classification | 37 | 4 years ago | apache-2.0 | Python | ||||||
| EEG Sleep stage classification using CNN with Keras | ||||||||||
| Mneflow | 31 | 6 months ago | 4 | May 19, 2022 | bsd-3-clause | Python | ||||
| Neural networks for EEG-MEG decoding with MNE-python and Tensorflow. | ||||||||||
| Motor Imagery Tasks Classification Using Eeg Data | 29 | 6 years ago | 1 | Jupyter Notebook | ||||||
| Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data | ||||||||||
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Eeg