MIBCI-QCNNs
importeddevices/mibci-qcnns
This repo contains the source code of the project "FPGA implementation of BCIs using QCNNs" submitted to the Xilinx Open Hardware Design Competition 2021.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Devices & Hardware
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/eneriz-daniel/MIBCI-QCNNs
- Documentation
- unknown
- Tags
- bci · cnns · eeg · eegnet · hls · motor-imagery · qcnns
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- AugmentBrainbci · eeg · motor-imagery
In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named…
- EEGResearchHubbci · eeg · motor-imagery
A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG classification models) to push the boundaries of neuroscience.
- NeuralFlightbci · eegnet
Neural control framework for drones using motor imagery EEG classification. Achieves 73% cross-subject accuracy with PyTorch and enables hands-free drone control through imagined hand/feet movements.
- Dynamic-PyTorch-Neteeg · eegnet
Class to automatic create Convolutional Neural Network in PyTorch
- aawedhaeeg · motor-imagery
Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking
- Barlow_Twins_EEGeeg · motor-imagery
[IEEE Access] A Novel Negative-sample-free Contrastive Self-Supervised Learning for EEG-Based Motor Imagery Classification
- api.github.com/repos/eneriz-daniel/MIBCI-QCNNsretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2021-12-14, 19 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/11.json→ .entries["mibci-qcnns"]
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