Name: Sri Teja
Type: User
Company: Swipe (www.getswipe.in)
Bio: Co-Founder & CTO, Swipe (YC S21) | CS IIIT-Hyderabad | Building Large Scale Systems
Location: Hyderabad, India.
Blog: https://getswipe.in
Sri Teja's Projects
Extraction of algorithm name from research papers - allows the users to list out the name of algorithms being discussed in the paper by analyzing the contents of the research document.
Chemical Named Entity Recognition
Data and code behind the articles and graphics at FiveThirtyEight
A distributed P2P system which emulates a Direct Connect hub, primarily for college campuses and other low-latency LANs. http://dtella.org
Modern Face Recognition with Deep Learning
Unity Friend Smash Sample
This is a repository testing git flow for small development teams or startups
Git extension for versioning large files
Becoming 1% better at data science everyday
ArcGis React
Website explaining the student immersion program
A website to accept stories, to learn how others experience participation in free software communities
The code that runs openhatch.org
Insights about Ontology Learning. This repo includes 1) List of the recent research papers in this topic. 2) What are the problems on which current research is going on in this topic. On the whole a good collection of information for who wants to start working in Ontology Learning through data mining techniques.
PyMySQL-based database connection pool.
A Scalable Python Flask web application on Ubuntu 18.04 using Gunicorn and NGINX
Scrapy, a fast high-level screen scraping and web crawling framework for Python.
my profile
First Phase is to implement the SSWE (Sentiment Specific Word Embedding). The output of 1st phase is vectors for each word with 'Syntax Score' and 'Semantic Score'. Second phase is to train the model using SVM and predict the semantics.
Different Approaches tried for The Winton Stock Market Challenge (https://www.kaggle.com/c/the-winton-stock-market-challenge)
Trueode.com website
A wiki search engine using inverted Indexes, Multilevel Indexing, Index Compression.