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Hi 👋, I'm Shubhanshu

I am a Machine Learning Researcher working in Content Understanding Research group at Twitter.

More details at: shubhanshu.com

napsternxg

 napsternxg

Shubhanshu Mishra's Projects

accentdiff icon accentdiff

Compare the accent of different countries and regions. Data set from http://accent.gmu.edu

addons icon addons

Useful extra functionality for TensorFlow 2.0 maintained by SIG-addons

auto-ssh icon auto-ssh

This is a small shell and expect script to enable automatic login from terminal into ssh session using a config file which already stores the sample connection details.

autophrase icon autophrase

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

awesome-generative-models icon awesome-generative-models

Awesome list of generative models which can generate realistic looking content. Aimed at creating awareness about deepfakes.

awesome-scholarly-data-analysis icon awesome-scholarly-data-analysis

A curated collection of resources on scholarly data analysis ranging from datasets, papers, and code about bibliometrics, citation analysis, and other scholarly commons resources.

awoiaf-data icon awoiaf-data

Python scripts to download data from http://awoiaf.westeros.org

baseline icon baseline

Simple but Strong Deep Baseline algorithms for NLP

bash-template-engine icon bash-template-engine

A very simple template engine made in bash for showing help file and other config details.

bibtex-js icon bibtex-js

Automatically exported from https://code.google.com/p/bibtex-js

biomedical icon biomedical

Tools for curating biomedical training data for large-scale language modeling

blog icon blog

Technical blog on data science, python, machine learning etc.

brat icon brat

brat rapid annotation tool (brat) - for all your textual annotation needs

cayman icon cayman

Cayman is a Jekyll theme for GitHub Pages

chorogrid icon chorogrid

A python script to produce choropleths and colored square- and hex-grid maps

company-connect icon company-connect

A web based application to scrape the linkedin public data of the employees of the company and show it in the company profile pages.

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