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  1. basic RNN, GRU, some variants of LSTMs implemented from scratch in pytorch (from the extremely well written: https://r2rt.com/written-memories-understanding-deriving-and-extending-the-lstm.html)

    Jupyter Notebook 3

  2. (Theano) Linear Autoencoders on 3 dimensional Gaussian

    Python 2

  3. implementing basic style transfer

    Jupyter Notebook 1

  4. convert frames into a video using opencv (copied from: https://www.life2coding.com/convert-image-frames-video-file-using-opencv-python/)

    Python 1

  5. a browser for ML experiments using django

    JavaScript 1