abarthakur Goto Github PK
Name: Aneesh Barthakur
Type: User
Company: University of Stuttgart
Bio: PhD candidate specialising in Constrained Learning methods @ Uni-Stuttgart
Location: Stuttgart
Name: Aneesh Barthakur
Type: User
Company: University of Stuttgart
Bio: PhD candidate specialising in Constrained Learning methods @ Uni-Stuttgart
Location: Stuttgart
A minimal implementation of a CLI (Command Line Interface) shell in C, with redirection and piping. Purpose: educational.
Clamps an HTML element by adding ellipsis to it if the content inside is too long.
Java based visualization of classroom in a server-client login model. For educational purposes. Uses Java Swing and Socket programming.
Processing of Riedel Dataset for python, and subsequent visualization using tSNE and hierarchial clustering. Part of Summer 2016 project.
Code for 2016 Project to annotate Wikipedia corpus with Freebase KnowledgeBase
Experiments to develop a data-dependent combination rule for ensembles
My implementation in MATLAB of some fuzzy clustering algorithms.
Re-usable Gulp Toolkit for WordPress Themes
A crash course in Python
Crunch some numbers for the JEE cutoffs (downloaded from the jeeadv.ac.in). Recipe for using BS4.
Probabilistic generative model that incorporates both the topology of interactions and node attributes to extract overlapping communities in directed and undirected multilayer networks.
Adapted Triplet loss based metric learning to learn a metric for multilabel points, such that samples with maximum overlap in label sets are close.
Python implementation of HOMER, Parabel and CraftML algorithms for XML. Also includes EDA for XML datasets.
Multilayer network tensor factorization, for community detection, link prediction and measure layer interdependence.
An implementation (slightly different) of the Random k-labelsets approach to Multi-Label Learning, with clustering-based under-sampling for correcting class imbalance.
Single image dehazing using CNN. Proposes an auxiliary loss to model smoothness to reduce surface artifacts.
Sioyek is a PDF viewer with a focus on textbooks and research papers
An implementation of the TREPAN algorithm in python. TREPAN extracts a decision tree from an ANN using a sampling method.
A voice controlled assistant for Ubuntu with a minimal GUI
Different template files
A wordpress theme for professional websites with a blog, pages, video and search.
Terminal based YouTube player and downloader. No Youtube API key required. Forked from mps-youtube
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.