samra-irshad's repositories

3d-boundary-constrained-networks

Boundary-constrained models for 3D abdominal multi-organ segmentation (Pytorch implementation)

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acosp

Semantic Segmentation in Pytorch

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AdvDrop

Code for "Adversarial attack by dropping information." (ICCV 2021)

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AI-Challenger-Retinal-Edema-Segmentation

DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger

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Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

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calibration-framework

Python Framework to calibrate confidence estimates of classifiers like Neural Networks

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DAR

Code for Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction [TMI 2022]

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ddn

Deep Declarative Networks

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deep_learning_object_detection

A paper list of object detection using deep learning.

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deeplab-pytorch

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

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DeepLabV3Plus-Pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

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deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

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DeepPATH

Classification of Lung cancer slide images using deep-learning

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deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

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hidden-stratification

Combating hidden stratification with GEORGE

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KiU-Net-pytorch

Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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MRNet

Code for CVPR 2021 paper. "Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling".

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nltk

NLTK Source

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PHiSeg-code

Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019

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pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

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pytorch-beginner

pytorch tutorial for beginners

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pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

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pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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shrinkbench

PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.

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thyroid-us

Evaluation of Thyroid Nodules Seen on Ultrasound Using Multi-task Deep Convolutional Neural Network (CNN)

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