abarthakur/trepan_python

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Created almost 7 years ago
Updated over 1 year ago

abarthakur/trepan_python

abarthakur

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

multilabel-deep-metric

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

clustering_riedel_dataset

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

SI_dehazing

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

Jupyter Notebook

fuzzy_clustering

My implementation in MATLAB of some fuzzy clustering algorithms.

multilabel-tree-methods

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

Jupyter Notebook

rakel-mlp

An implementation (slightly different) of the Random k-labelsets approach to Multi-Label Learning, with clustering-based under-sampling for correcting class imbalance.

classroom_visualisation

Java based visualization of classroom in a server-client login model. For educational purposes. Uses Java Swing and Socket programming.