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1. multilabel-deep-metric multilabel-deep-metric Public

   Adapted Triplet loss based metric learning to learn a metric for multilabel points, such that samples with maximum overlap in label sets are close.

   Jupyter Notebook 37 2

2. trepan_python trepan_python Public

   An implementation of the TREPAN algorithm in python. TREPAN extracts a decision tree from an ANN using a sampling method.

   Scilab 18 8

3. multilabel-tree-methods multilabel-tree-methods Public

   Python implementation of HOMER, Parabel and CraftML algorithms for XML. Also includes EDA for XML datasets.

   Jupyter Notebook 4 2

4. fuzzy_clustering fuzzy_clustering Public

   My implementation in MATLAB of some fuzzy clustering algorithms.

   MATLAB 4 3

5. clustering_riedel_dataset clustering_riedel_dataset Public

   Processing of Riedel Dataset for python, and subsequent visualization using tSNE and hierarchial clustering. Part of Summer 2016 project.

   Python 7 2

6. SI_dehazing SI_dehazing Public

   Single image dehazing using CNN. Proposes an auxiliary loss to model smoothness to reduce surface artifacts.

   Jupyter Notebook 5 1