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  • Data Mining & Quality Analytics Lab in korea university.

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  1. Stacked-Convolutional-Auto-Encoders-for-Hierarchical-Feature-Extraction Stacked-Convolutional-Auto-Encoders-for-Hierarchical-Feature-Extraction Public

    본 공간은 "Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction" 논문을 pytorch로 구현한 코드를 공유하기 위해 설립된 공간입니다.

    Python 3

  2. Bayesian-convolutional-neural-networks-with-bernouli-approximate-variational-inference Bayesian-convolutional-neural-networks-with-bernouli-approximate-variational-inference Public

    안녕하세요. 본 공간은 Bayesian convolutional neural networks with bernouli approximate variational inference 논문을 Pytorch로 구현한 코드를 공유하기 위해 설립된 공간입니다.

    Python 1

  3. Bayesian-CNN-auto-encodoer Bayesian-CNN-auto-encodoer Public

    Python 3

  4. Kernel-PCA-and-de-noising-in-feature-spaces Kernel-PCA-and-de-noising-in-feature-spaces Public

    안녕하세요, 본 공간은 Kernel PCA and de-noising in feature spaces 논문 결과를 Python으로 구현한 코드를 공유하기 위해 설립된 공간입니다.

    Python

  5. Simple-and-Scalable-Predictive-Uncertainty-Estimation-using-Deep-Ensembles Simple-and-Scalable-Predictive-Uncertainty-Estimation-using-Deep-Ensembles Public

    Python 7

  6. Variational-Autoencoder-based-Anomaly-Detection Variational-Autoencoder-based-Anomaly-Detection Public

    안녕하세요, 본 공간은 Variational Autoencoder based Anomaly Detection using Reconstruction Probability 논문을 Pytorch로 구현한 코드를 공유하기 위해 설립된 공간입니다.

    Python 7 2