Kelsey Xiang's repositories
Augmentor3D
A module for 3D image augmentations for deep learning, specifically medical images such as CT, MRI.
CA-Net
Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
contextual_loss_pytorch
Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).
Disk-Failure-Prediction
In this case study, you can download SMART logs from Backblaze website(https://www.backblaze.com/b2/hard-drive-test-data.html), then design and implement a machine learning based solution to predict the disk failures in daily(output prediction results in each testing day) granularity.
medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
OSC
Octahedron-shaped Convolution for Refining Aorta Semantic Segmentation
pytorch-deform-conv-v2
PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)
test1
This is for test!