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Thomson Reuters's Projects

presidio icon presidio

Context aware, pluggable and customizable data protection and PII data anonymization service for text and images

rabbit.js icon rabbit.js

Messaging in Node.JS made easy using RabbitMQ

researchdata icon researchdata

Data sets and code to go with Thomson Reuters Research & Development publications to facilitate replication of experiments.

researchdata-supplychainrisk icon researchdata-supplychainrisk

Data from Carstens et al. (2017). Lucas Carstens, Jochen L. Leidner, Krzysztof Szymanski and Blake Howald, "Modeling Company Risk & Importance in Supply Graphs", Proc. ESWC, Portorož, Slovenia, pp. 18-32. https://rd.springer.com/chapter/10.1007%2F978-3-319-58451-5_2

robotframework-database-library icon robotframework-database-library

Database Library contains utilities meant for Robot Framework's usage. This can allow you to query your database after an action has been made to verify the results. This is compatible* with any Database API Specification 2.0 module.

rosco icon rosco

A bakery for deployable images

search-highlighter icon search-highlighter

Github mirror of "search/highlighter" - our actual code is hosted with Gerrit (please see https://www.mediawiki.org/wiki/Developer_access for contributing

springfox icon springfox

Automated JSON API documentation for API's built with Spring

swagger-ui icon swagger-ui

Swagger UI is a dependency-free collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.

tinymce icon tinymce

TinyMCE is a JavaScript library for platform independent 'WYSIWYG' or rich text editing. It is released as open source under the LGPL.

tr-datachallenge1 icon tr-datachallenge1

Thomson Reuters is challenging you today to leverage machine learning and natural language processing to build an algorithm that can automatically classify news into different categories. If you are as obsessed as we are with deep learning, you are encouraged to create a headline summarizer which helps you earn extra points.

tr-datachallenge2 icon tr-datachallenge2

In this challenge, we will provide you with thousands of room images and expect you to label them into one of the three categories– Bedroom, Bathroom or Kitchen. Build your own cutting-edge deep learning model to win the competition!

typings icon typings

A repository of Dojo 1 TypeScript Typings (including Dijit and DojoX)

ui-select icon ui-select

AngularJS-native version of Select2 and Selectize

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