abarthakur
PhD candidate specialising in Constrained Learning methods @ Uni-Stuttgart
University of StuttgartStuttgart
Pinned Repositories
abarthakur.github.io
basic_shell
A minimal implementation of a CLI (Command Line Interface) shell in C, with redirection and piping. Purpose: educational.
Clamp.js
Clamps an HTML element by adding ellipsis to it if the content inside is too long.
clustering_riedel_dataset
Processing of Riedel Dataset for python, and subsequent visualization using tSNE and hierarchial clustering. Part of Summer 2016 project.
fuzzy_clustering
My implementation in MATLAB of some fuzzy clustering algorithms.
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.
multilabel-tree-methods
Python implementation of HOMER, Parabel and CraftML algorithms for XML. Also includes EDA for XML datasets.
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.
SI_dehazing
Single image dehazing using CNN. Proposes an auxiliary loss to model smoothness to reduce surface artifacts.
trepan_python
An implementation of the TREPAN algorithm in python. TREPAN extracts a decision tree from an ANN using a sampling method.
abarthakur's Repositories
abarthakur/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.
abarthakur/trepan_python
An implementation of the TREPAN algorithm in python. TREPAN extracts a decision tree from an ANN using a sampling method.
abarthakur/clustering_riedel_dataset
Processing of Riedel Dataset for python, and subsequent visualization using tSNE and hierarchial clustering. Part of Summer 2016 project.
abarthakur/SI_dehazing
Single image dehazing using CNN. Proposes an auxiliary loss to model smoothness to reduce surface artifacts.
abarthakur/fuzzy_clustering
My implementation in MATLAB of some fuzzy clustering algorithms.
abarthakur/multilabel-tree-methods
Python implementation of HOMER, Parabel and CraftML algorithms for XML. Also includes EDA for XML datasets.
abarthakur/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.
abarthakur/classroom_visualisation
Java based visualization of classroom in a server-client login model. For educational purposes. Uses Java Swing and Socket programming.
abarthakur/abarthakur.github.io
abarthakur/basic_shell
A minimal implementation of a CLI (Command Line Interface) shell in C, with redirection and piping. Purpose: educational.
abarthakur/Clamp.js
Clamps an HTML element by adding ellipsis to it if the content inside is too long.
abarthakur/create_distantly_supervised_dataset
Code for 2016 Project to annotate Wikipedia corpus with Freebase KnowledgeBase
abarthakur/ensemble_combination
Experiments to develop a data-dependent combination rule for ensembles
abarthakur/gulp-wp-toolkit
Re-usable Gulp Toolkit for WordPress Themes
abarthakur/intro_to_python
A crash course in Python
abarthakur/jee-cutoff-crunch
Crunch some numbers for the JEE cutoffs (downloaded from the jeeadv.ac.in). Recipe for using BS4.
abarthakur/MTCOV
Probabilistic generative model that incorporates both the topology of interactions and node attributes to extract overlapping communities in directed and undirected multilayer networks.
abarthakur/mulan
abarthakur/MultiTensor
Multilayer network tensor factorization, for community detection, link prediction and measure layer interdependence.
abarthakur/sioyek
Sioyek is a PDF viewer with a focus on textbooks and research papers
abarthakur/voice_assistant
A voice controlled assistant for Ubuntu with a minimal GUI
abarthakur/webdev-recipes
Different template files
abarthakur/wp_doctor
A wordpress theme for professional websites with a blog, pages, video and search.
abarthakur/yewtube
Terminal based YouTube player and downloader. No Youtube API key required. Forked from mps-youtube