GLIM
importedsoftware/glim
Official PyTorch implementation of research papaer "Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation".
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- CC-BY-NC-SA-4.0(cc)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/justin-xzliu/GLIM
- Documentation
- unknown
- Tags
- artificial-intelligence · brain-computer-interface · brain-decoding · eeg-to-text
- 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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Predicting Workload in Virtual Flight Simulations using EEG Spectral and Connectivity Features
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Python QT application that lets targeted individuals record their EEG data from a BCI device such as Muse2, label communication start/end in their EEG stream, train an AI model from labeled data,…
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Network Designed to Eventually Yield Sentience and Sapience
- Ouijaartificial-intelligence · brain-computer-interface
God-View for your brain
- api.github.com/repos/justin-xzliu/GLIMretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-06-01, 17 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as CC-BY-NC-SA-4.0, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/40.json→ .entries["glim"]
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