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adversarial-min-max

Re-implementations of adversarial attacks (Deepfool and I-FGSM) for breaking pre-trained machine learning models with an added objective of minimising/maximising L2 norm of images.

anomaly-detection

color_transfer

Performs color transfer between two images. Integrated style transfer algorithm in this fork.

dynamic-malware-analysis

Re-implementation of the proposed model in dynamic malware analysis by Zhang et al. (2019) in https://arxiv.org/abs/1907.07352.

em-vanishing-point

Re-implementation of the Expectation-Maximisation algorithm in locating vanishing points by Schindler & Dellaert (2004) in https://www.researchgate.net/publication/4082226_Atlanta_world_an_expectation_maximization_framework_for_simultaneous_low-level_edge_grouping_and_camera_calibration_in_complex_man-made_environments

mshub-sim

numpy-nn

Implementation of basic neural network workings in numpy.

python-basics

Summarised Python tutorial.

viterbi-cv

Context aware image resizing via Viterbi algorithm to iteratively search for a path of minimal differences.