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3d-sis

[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

awesome_underwater_datasets

Pointers to large-scale underwater datasets and relevant resources.

benchmark-elm-line-oct-dataset

Benchmarking Automated Detection Of The Retinal External Limiting Membrane In A 3D Spectral Domain Optical Coherence Tomography Image Dataset of Full Thickness Macular Holes

caffe

Caffe: a fast open framework for deep learning.

catalyst

Accelerated deep learning R&D

cell-detr

Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].

cellpose

a generalist algorithm for cellular segmentation

centrosome-analysis

ckdnet

CKDNet for skin lesion classification and segmentation

coco-convert

Concert data into coco version from masks

coco-json-converter

COCO Json converter python script for DAVIS 2016

coursera-tensorflow

cuisinenet

CuisineNet: Food Attributes Classification using Multi-scale Convolution Network

data_preprocessing

deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

deep-learning-colonoscopy

Review in Deep Learning for Polyp Detection and Classification in Colonoscopy.

deeplearning-digital-pathology

Full package for applying deep learning to virtual slides.

deeplearningimplementations

Implementation of recent Deep Learning papers

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

detection-tumor-position

the boundary detection of the tumor

diversity-regularized-spatiotemporal-attention

Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification

e2cnn

E(2)-Equivariant CNNs Library for Pytorch

echo-1

A hybrid aerial/underwater vehicle proposal. Co-Led Programming Team

edanet

Web-based efficient dual attention networks to detect COVID-19 from X-ray images

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

egofoodplaces

Recognizing Food Places in Egocentric Photo-streams

fast-rcnn

Fast R-CNN

flood_level_instance