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Johnson Chetty's Projects

regexeditor icon regexeditor

A graphical interface for creating and editing regular expressions.

restcommander icon restcommander

Fast Parallel Async HTTP client as a Service to monitor and manage 10,000 web servers. (Java+Akka)

resto icon resto

A restaurant app for fueled

ryven icon ryven

Flow-based visual scripting for Python including a machine learning package

salt icon salt

Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt Open software package repository here:

samacharbot2 icon samacharbot2

Reddit bot for summarizing posted links and providing relevant links.

sanic icon sanic

Python 3.5+ web server that's written to go fast

scrapegoogle icon scrapegoogle

Scrapes first 5 pages of google results for the title and url

scrapyd icon scrapyd

Scrapyd with HTTP Auth Proxy as docker container

scripts icon scripts

Collection of scripts, papers and notes

sense icon sense

Enhance your application with the ability to see and interact with humans using any RGB camera.

sentiment-analysis-on-finance-data icon sentiment-analysis-on-finance-data

The application is a cloud service that provides the functionality of performing sentiment analysis on stock market and financial data. The application can be hosted on Google App Engine and makes use of many of the GAE services like Search Service, MemCache, DataStore etc. Given the name of a company, data from various sources like Twitter, Facebook Graph, Google News, Google Finance etc is aggregated. For each source, different models have been pretrained using some prior data. Using different models provided us with a chance to utilize different Machine Learning methodologies based on the type of data from each source. The various techniques that we have built and tested on are :Naive Bayes, Multinomial and Bernoulli text representations, KNN.

sentiment-analysis-twitter icon sentiment-analysis-twitter

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

seq2seq icon seq2seq

A general-purpose encoder-decoder framework for Tensorflow

shaka-player icon shaka-player

JavaScript player library / DASH client / MSE-EME player

share.it icon share.it

Crowd-Fooding Project for Koding Global Virtual Hackathon

showme icon showme

Quick application debugging and analysis for Python

sht icon sht

A python implementation of fast spherical harmonic transforms

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