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robust-deep-learning

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dlmacedo / robust-deep-learning

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A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

machine-learning deep-neural-networks deep-learning pytorch classification uncertainty-neural-networks uncertainty-estimation open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning uncertainty-calibration trustworthy-ai robust-deep-learning
  • Updated Nov 26, 2022
  • Python

KibromBerihu / LFBNet

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This repository implements a robust deep learning method (LFBNet) for medical image segmentation using a two systems approach. Learning fast and slow strategy for robust medical image analysis.

ai deep-learning mri robust segmentation ct medical-image-processing cardiac inner-ear cardiac-segmentation medical-image-analysis medical-image-segmentation echocardiography cochlear-implant prostate-segmentation robust-deep-learning inner-ear-segmentation cardiac-image-segmentation robust-image-segmentation
  • Updated Jun 18, 2022
  • Python

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