rgangu Goto Github PK

followers: 23.0 following: 5.0 repos: 45.0 gists: 0.0

Name: Röhit Gangupantulu

Type: User

Company: Amazon

Bio: Data scientist at Amazon. Interests in NLP, cybersecurity, statistical modeling, and vision.

Twitter: rokugang

Location: Washington, DC

Hi, I'm Rohit 👋

I am a data scientist, with interests in NLP, statistical modeling, and computer vision.

Feel free to check out my repos - from projects I've done, to experiments. Sorry, don't have too much work stuff here - for obvious confidentiality reasons.

You can reach me at rbg5181 (AT) gmail (DOT) com.

Röhit Gangupantulu's Projects

8ballpool-dev

ai-platform

Open source platform for machine learning tasks

alphaai

Use unsupervised and supervised learning to predict stocks

automated-trading

Automated Trading: Trading View Strategies => Bitfinex, itBit, DriveWealth

babi-tasks-

utilizing RNNs in bAbI

black-scholes

Implementation of the Black-Scholes model

brain-seg

clairvoyant

Software designed to identify and monitor social/historical cues for short term stock movement

covid19-dashboard

🦠 Django Corona Virus dashboard. Powerful web-app, with clean minimal UI. Contributions welcomed!

covid19model

Code for modelling estimated deaths and cases for COVID19.

ctr-prediction

Sharing the CTR Prediction original paper and personal study notes

dengai-challenge

devalpha-node

A stream-based approach to algorithmic trading and backtesting in Node.js

docker-node-react-mysql-boilerplate

A boilerplate Docker project for development with a MySQL database, a Node.js backend using Express and Sequelize, and a React front-end.

docker-shiny-server

Docker container for Shiny Server

elitequant

A list of online resources for quantitative modeling, trading, portfolio management

expose

A simple static site generator for photoessays

ezanalysis

R package that helps simplify data analyses and machine learning - for novice statisticians and quick data science results.

haystack

:mag: Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...