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  • Korea University
  • Seoul, South Korea
  • 15:16 (UTC +09:00)

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  1. variational-autoencoder variational-autoencoder Public

    Small study projects implementing Variational Autoencoders in PyTorch

    Python 1

  2. generative-adversarial-network generative-adversarial-network Public

    Study projects implementing GAN variants in PyTorch

    Python 1

  3. min-char-rnn min-char-rnn Public

    A slightly improved version of min-char-rnn (original: https://gist.github.com/karpathy/d4dee566867f8291f086)

    Python 1

  4. seq2seq-lstm seq2seq-lstm Public

    Small-scale PyTorch reimplementation of "Sequence to Sequence Learning with Neural Networks" (Sutskever et al., 2014)

    Python 1

  5. principal-component-analysis principal-component-analysis Public

    A hands-on PCA implementation built from scratch and applied to the iris dataset

    Python 1

  6. autoencoder autoencoder Public

    Small-scale PyTorch experiments studying autoencoders and representation learning.

    Python 1