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AIMH Lab

Artificial Intelligence for Media and Humanities

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  1. visione visione Public

    An AI-powered interactive video retrieval system

    JavaScript 20 3

  2. neural-ode-features neural-ode-features Public

    Forked from fabiocarrara/neural-ode-features

    Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial examples

    Python

  3. deep-parking deep-parking Public

    Forked from fabiocarrara/deep-parking

    Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

    Python

  4. learning-relationship-aware-visual-features learning-relationship-aware-visual-features Public

    Forked from mesnico/learning-relationship-aware-visual-features

    Relational Content-Based Image Retrieval (R-CBIR) - Retrieving images with given relationships among objects

    Python

  5. hebbian-learning-cnn hebbian-learning-cnn Public

    Forked from GabrieleLagani/HebbianLearningThesis

    Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.

    Python 1

  6. mocca-anomaly-detection mocca-anomaly-detection Public

    Forked from fvmassoli/mocca-anomaly-detection

    Code to reproduce 'MOCCA: Multi-Layer One-Class Classification for Anomaly Detection'

    Python

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