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  • @intrinsic.ai
  • Mountain View, CA

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  1. Binary-Neural-Networks Binary-Neural-Networks Public

    Exploring "Binary Neural Networks" (https://arxiv.org/abs/1602.02830) in Theano. A set of experiments that use binarised weights and/or activations to reduce computational load of convolutional neu…

    Python 17 2

  2. Occlusion-experiments-for-image-segmentation Occlusion-experiments-for-image-segmentation Public

    Follows the image occlusion pipeline presented in the paper "Visualising and understanding Convolutional Neural networks" to extract a coarse segmentation map from input image using a pre-trained CNN.

    Jupyter Notebook 6 6

  3. Optical-Flow-Tracking----OpenCV Optical-Flow-Tracking----OpenCV Public

    This is a small program demonstrating object tracking in a video stream. Lucas Kanade optical flow algorithm is used to find the pixels from one frame to another.

    Python 48 21

  4. Adversarial-Examples-in-PyTorch Adversarial-Examples-in-PyTorch Public

    Pytorch code to generate adversarial examples on mnist and ImageNet data.

    Python 116 35

  5. ImageNet-downloader ImageNet-downloader Public

    A simple way to browse ImageNet classes and download some images from it.

    Python 30 7

  6. devise-keras devise-keras Public

    Forked from priyamtejaswin/devise-keras

    Interpretable Image Search by Priyam Tejaswin and Akshay Chawla

    Python