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kaist-master's Projects
bayesian-for-hackers-korean
베이지안 기법, 그리고 확률 프로그래밍을 구현하면서 익히는 입문서! 이 모든 것을 파이선으로 :)
image-analysis-with-deep-learning
딥러닝을 이용한 이미지 분석 방법들에 대해 정리한 자료입니다.
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
recsys
추천시스템에 관련된 논문을 직접 구현해본 자료입니다.
segnet-tutorial
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
semantic-segmentation-tutorial-pytorch
A simple PyTorch codebase for semantic segmentation using Cityscapes.
swa_gaussian
Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
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