# vlawhern/arl-eegmodels

<https://repo.masters-masters.com/en/repos/vlawhern/arl-eegmodels>

[Home](https://repo.masters-masters.com/en) › [vlawhern](https://repo.masters-masters.com/en/owners/vlawhern) › [arl-eegmodels](https://repo.masters-masters.com/en/repos/vlawhern/arl-eegmodels)

vlawhern/arl-eegmodels has 1,585 stars on GitHub. Its RepoMasters card: Beta tier. This is the Army Research Laboratory (ARL) EEGModels Project: A Collection…

| Field | Value |
| --- | --- |
| Owner | [vlawhern](https://repo.masters-masters.com/en/owners/vlawhern) |
| Stars | 1,585 |
| Forks | 336 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | eeg, deep-learning, convolutional-neural-networks, keras, tensorflow, brain-computer-interface, eeg-classification, time-series-classification, event-related-potentials, sensory-motor-rhythm |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [vlawhern/arl-eegmodels](https://github.com/vlawhern/arl-eegmodels) |

## Repository

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

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.