MI-EEG-1D-CNN
importedsoftware/mi-eeg-1d-cnn
A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- artificial-neural-networks · brain-computer-interface · neuroscience
- 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.
- brain-computer-interfacingartificial-neural-networks · brain-computer-interface
🧠 Brain-Computer Interfacing bootcamp course + projects @ Saturdays.AI (BCI + AI)
- Diabetes_Researchartificial-neural-networks
Neural Networks for predicting diabetes from Fingerprints.
- modelhubartificial-neural-networks
A collection of deep learning models with a unified API.
- br_stimpybrain-computer-interface · neuroscience
br_stimpy: a python wrapper for Blackrock Neurotech's Cerestim API
- brainflowbrain-computer-interface · neuroscience
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
- CereLinkbrain-computer-interface · neuroscience
Blackrock Neurotech Cerebus Link for Neural Signal Processors
- api.github.com/repos/ambitious-octopus/MI-EEG-1D-CNNretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-05-30, 175 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/25.json→ .entries["mi-eeg-1d-cnn"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.