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  1. DDC-transfer-learning DDC-transfer-learning Public

    Forked from syorami/DDC-transfer-learning

    A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

    Python

  2. tensorflow-mnist-cnn tensorflow-mnist-cnn Public

    Forked from hwalsuklee/tensorflow-mnist-cnn

    MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

    Python

  3. BatchNormalization_Keras BatchNormalization_Keras Public

    Forked from Tony607/BatchNormalization_Keras

    Source code for "One simple trick to train Keras model faster with Batch Normalization"

    Jupyter Notebook

  4. Meta-Learning-Papers Meta-Learning-Papers Public

    Forked from floodsung/Meta-Learning-Papers

    Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

  5. prototypical-networks prototypical-networks Public

    Forked from jakesnell/prototypical-networks

    Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

    Python

  6. LearningToCompare_FSL LearningToCompare_FSL Public

    Forked from floodsung/LearningToCompare_FSL

    PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

    Python