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.
- moleculegen-mlconvolutional-neural-networks · recurrent-neural-networks
Generate novel molecules using neural language models
- blood-glucose-predictionrecurrent-neural-networks
Blood glucose prediction using long short-term memory recurrent neural networks.
- time-series-forecasting-uoro-rtrlrecurrent-neural-networks
Multivariate respiratory-motion time-series forecasting using recurrent neural networks trained with unbiased online recurrent optimization (UORO) and real-time recurrent learning (RTRL)
- reinvent-randomizedrecurrent-neural-networks
Recurrent Neural Network using randomized SMILES strings to generate molecules
- arl-eegmodelsconvolutional-neural-networks · eeg
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
- CareSleepNetconvolutional-neural-networks · eeg
[JBHI 2024] CareSleepNet: A Hybrid Deep Learning Network for Automatic Sleep Staging
- 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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