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cudasift

A CUDA implementation of SIFT for NVidia GPUs

cv_wsl

Weakly Supervised Learning in Computer vision

cvpr-skin-solo-ensemble

Code repository for the paper “Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification”

cvpr2020-code

CVPR 2020 论文开源项目合集

d-unet

daf

Code for the MICCAI 2018 paper "Deep Attentional Features for Prostate Segmentation in Ultrasound"

dagan

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dbicp

Automatically exported from code.google.com/p/dbicp

dcan-tensorflow

Deep Contour-Aware Networks in Tensorflow

deedsbcv

new and more efficient version for 3D discrete deformable registration, reaching the highest accuracy in several benchmarks

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-metric-learning-cvpr16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

deep-mil-for-whole-mammogram-classification

Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification." MICCAI 2017.

deep-mri-reconstruction

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-sad-pytorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

deepatlas

Joint Semi-supervised Learning of Image Registration and Segmentation

deepattnmisl

Contains codes of DeepAttnMISL in MEDIA'20

deepgrabcut-pytorch

Deep GrabCut in PyTorch

deeplf

Learning deep embeddings for patch-based label fusion

deeplung

DeepLung PyTorch1.0 Python3.7 with multi GPUs

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

deepmitosis

Codes for our MIA paper "DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks".

deepmri

The code for paper 'DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution'

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

deepsaliency

Source Code and Model for DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

deepseenet

:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.

deepslides

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.