Smoothly-Blend-Image-Patches

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Search similar apps

    License

    MIT License

    Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

    Creator

    guillaume-chevalier

    Related apps

    Awesome-Deep-Learning-Resources

    Awesome-Deep-Learning-Resources

    Rough list of my favorite deep learning resources, useful for revisiting topics

    1668cc0-1.0

    10 months ago

    awesomeawesome-listcnn

    HAR-stacked-residual-bidir-LSTMs

    HAR-stacked-residual-bidir-LSTMs

    Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we d

    Python319apache-2.0

    2 years ago

    bidirectional-lstm-cellshuman-activity-recognitionlstm

    Hyperopt-Keras-CNN-CIFAR-100

    Hyperopt-Keras-CNN-CIFAR-100

    Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Co

    Python106other

    7 years ago

    cnncnn-kerashyperopt

    seq2seq-signal-prediction

    seq2seq-signal-prediction

    Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Networ

    Jupyter Notebook1083apache-2.0

    2 years ago

    pythonseq2seqtensorflow

    SGNN-Self-Governing-Neural-Networks-Projection-Layer

    SGNN-Self-Governing-Neural-Networks-Projection-Layer

    Attempt at reproducing a SGNN's projection layer, but with word n-grams instead

    Jupyter Notebook23bsd-3-clause

    2 years ago

    filtering-stft-and-laplace-transform

    filtering-stft-and-laplace-transform

    Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier

    Jupyter Notebook66mit

    6 years ago

    butterworthbutterworth-filterbutterworth-filtering

    LSTM-Human-Activity-Recognition

    LSTM-Human-Activity-Recognition

    Human Activity Recognition example using TensorFlow on smartphone sensors datase

    Jupyter Notebook3350mit

    2 years ago

    activity-recognitiondeep-learninghuman-activity-recognition