Pinned Repositories
ECSE626_2019
IFT6135H19_Assignments
IFT6135H19 Assigments
IGAL
Information Gain Sampling for Active Learning in Medical Image Classification
Keras_older_version
M-net
ISBI 2017 paper: M-net
multi-task-learning-example
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
numpy-ml
Machine learning, in numpy
pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
QU-BraTS
Uncertainty evaluation metric for Quantification of Uncertainty in Brain Tumour Segmentation (QU-BraTS) 2020 challenge
RS-Net
RS-Net
RagMeh11's Repositories
RagMeh11/QU-BraTS
Uncertainty evaluation metric for Quantification of Uncertainty in Brain Tumour Segmentation (QU-BraTS) 2020 challenge
RagMeh11/multi-task-learning-example
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
RagMeh11/M-net
ISBI 2017 paper: M-net
RagMeh11/RS-Net
RS-Net
RagMeh11/ECSE626_2019
RagMeh11/IFT6135H19_Assignments
IFT6135H19 Assigments
RagMeh11/IGAL
Information Gain Sampling for Active Learning in Medical Image Classification
RagMeh11/Keras_older_version
RagMeh11/numpy-ml
Machine learning, in numpy
RagMeh11/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
RagMeh11/RagMeh11.github.io
RagMeh11/ralis
Code for the paper "Reinforced Active Learning for Image Segmentation"