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GitHub / SeroviICAI / Mamba-Biometric-EKG-Analysis-Technology-MambaBEAT

In the realm of EKG/ECG analysis, deep learning models have made significant strides. However, the pursuit of efficiency and accuracy persists. The proposed Mamba Biometric EKG Analysis Technology (MambaBEAT) project aims to utilize the Mamba model, a promising sequence modeling architecture, to further advance EKG analysis.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SeroviICAI%2FMamba-Biometric-EKG-Analysis-Technology-MambaBEAT

Stars: 3
Forks: 0
Open Issues: 0

License: apache-2.0
Language: Python
Repo Size: 16.1 MB
Dependencies: 9

Created: about 2 months ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago

Topics: biotechnology, deep-learning, ekg-analysis, mamba, python, pytorch, resnet-152

Files

Readme

Dependencies

requirements.txt pypi

Requests ==2.31.0
matplotlib ==3.8.2
numpy >=1.24.1
pandas ==2.2.2
scikit_learn ==1.4.0
tensorboard ==2.16.2
torch *
tqdm ==4.66.1
wfdb ==4.1.2