EEG-BayesianCNN
importedsoftware/eeg-bayesiancnn
This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/SuperBruceJia/EEG-BayesianCNN
- Documentation
- unknown
- Tags
- bayesian · bayesian-cnns · bayesian-convnets · bayesian-inference · bayesian-methods · eeg · eeg-classification · eeg-signals · eeg-signals-classification · pytorch-implementation
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
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Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
- Dynamic-PyTorch-Neteeg · pytorch-implementation
Class to automatic create Convolutional Neural Network in PyTorch
- api.github.com/repos/SuperBruceJia/EEG-BayesianCNNretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2020-09-12, 31 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
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