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ad-dl

Framework for the reproducible classification of Alzheimer's disease using deep learning

adni_visualize

Self-supervised learning for understanding of morphological features in classification of fMRI images from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database

brain2020

Development and validation of an interpretable deep learning framework for Alzheimer's disease classification

camull_net

An implementation of the Cambridge 3D convolutional network for the classification of Alzheimer's disease.

dadm2020

Enhancing MR imaging driven Alzheimer’s disease classification performance using generative adversarial learning

deep-3d-cnns-for-mri-classification-with-alzheimer-s-disease-and-grad-cam-visualization

Deep 3D CNNs for MRI Classification with Alzheimer's Disease And Grad-CAM for Visualization

deeplearning-models

A collection of various deep learning architectures, models, and tips

eco

Matlab implementation of the ECO tracker.

eco-pytorch

PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

ladcf

pyeco

python implementation of efficient convolution operators for tracking

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

siammask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

teleguience

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