EEGLearn
importedsoftware/eeglearn
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/pbashivan/EEGLearn
- Documentation
- unknown
- Tags
- convolutional-neural-networks · eeg · recurrent-neural-networks
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- blood-glucose-predictionrecurrent-neural-networks
Blood glucose prediction using long short-term memory recurrent neural networks.
- reinvent-randomizedrecurrent-neural-networks
Recurrent Neural Network using randomized SMILES strings to generate molecules
- EEG-ATCNetconvolutional-neural-networks · eeg
Attention temporal convolutional network for EEG-based motor imagery classification
- EEG_classificationconvolutional-neural-networks · eeg
EEG Sleep stage classification using CNN with Keras
- EEGNetconvolutional-neural-networks · eeg
This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
- airpiconvolutional-neural-networks
AI-assisted rapid phase imaging for 4D-STEM
- api.github.com/repos/pbashivan/EEGLearnretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2020-07-02, 770 stars, license reported as GPL-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/30.json→ .entries["eeglearn"]
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