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2020aikorea-round2

task: detect small crack in tile

aptos-2019-gold-medal-solution

arcanegan

ArcaneGAN

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

covid-chestxray-dataset

COVID-19 cases with chest X-ray or CT images.

covid19-chestxray

covid19-cough-spectrum

:mortar_board: COVID19 Cough Spectrum with training datasets for annual CUAI Conference

covid19-shortpaper

COVID-19 short paper (CUAI Deep Learning Track)

covidprognosis

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

create-react-app

Set up a modern web app by running one command.

cuai-session

data-crawling-project

:office: first project : image data crawling

data-science-competitions

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

deep_learning_object_detection

A paper list of object detection using deep learning.

efficientnet_examples

f2dnet

[F2DNet] Fast Focal Detection Network for Pedestrian Detection

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

golden_ring

Code that won the CDIC contest, which started with the CUAI Academic Club Project

grad-cam

[ICCV 2017] Torch code for Grad-CAM

implementation_deeplearningpaper

Implementation of Model in Deep learning Paper with PyTorch & Keras

jaewook94

mat

The official implementation of the Molecule Attention Transformer.

megatron-lm

Ongoing research training transformer language models at scale, including: BERT & GPT-2

nlp_company

opencv-fastcampus

Series of projects using OpenCV-python based on provided lectures

openvslam

:pencil2: OpenVSLAM: A Versatile Visual SLAM Framework

pytorch

:orange_book: Deep Learning Zero to All - Pytorch

pytorch-cifar

95.47% on CIFAR10 with PyTorch

self-study

Python self-study