apakbin
PhD Candidate in Computer Science at Texas A&M University
Advanced Micro DevicesSan Fransisco Bay Area
Pinned Repositories
apakbin.github.io
ICU72hReadmissionMIMICIII
Prediction of ICU Readmissions Using Data at Patient Discharge using MIMICIII Database
med-summ
UNET-Implementation
A streamlined implementation of the U-Net architecture using PyTorch 2.2.1, featuring Conv2d layers and a custom convolution layer designed to reduce the number of parameters in the convolution layer.
BoXHED1.0
BoXHED2.0
BoXHED2.0-source-code
Project606
apakbin's Repositories
apakbin/ICU72hReadmissionMIMICIII
Prediction of ICU Readmissions Using Data at Patient Discharge using MIMICIII Database
apakbin/apakbin.github.io
apakbin/med-summ
apakbin/UNET-Implementation
A streamlined implementation of the U-Net architecture using PyTorch 2.2.1, featuring Conv2d layers and a custom convolution layer designed to reduce the number of parameters in the convolution layer.