Benchmark of 15+ neural architectures on 916 hours of pediatric EEG (CHB-MIT) for seizure detection.

chb-mit deep-learning eeg lstm mamba pytorch seizure-detection signal-processing time-series transformer
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Benchmark of 15+ neural architectures on 916 hours of pediatric EEG (CHB-MIT) for seizure detection.

Python
#chb-mit#deep-learning#eeg#lstm#mamba#pytorch#seizure-detection#signal-processing#time-series#transformer
good first issue priority:low category:bug

Benchmark of 15+ neural architectures on 916 hours of pediatric EEG (CHB-MIT) for seizure detection.

Python
#chb-mit#deep-learning#eeg#lstm#mamba#pytorch#seizure-detection#signal-processing#time-series#transformer
good first issue priority:low category:documentation

Benchmark of 15+ neural architectures on 916 hours of pediatric EEG (CHB-MIT) for seizure detection.

Python
#chb-mit#deep-learning#eeg#lstm#mamba#pytorch#seizure-detection#signal-processing#time-series#transformer
good first issue priority:medium category:documentation

Benchmark of 15+ neural architectures on 916 hours of pediatric EEG (CHB-MIT) for seizure detection.

Python
#chb-mit#deep-learning#eeg#lstm#mamba#pytorch#seizure-detection#signal-processing#time-series#transformer
good first issue priority:high category:bug

Benchmark of 15+ neural architectures on 916 hours of pediatric EEG (CHB-MIT) for seizure detection.

Python
#chb-mit#deep-learning#eeg#lstm#mamba#pytorch#seizure-detection#signal-processing#time-series#transformer