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Jose Moraes's Projects

opencpu icon opencpu

OpenCPU system for embedded scientific computation and reproducible research

opencv-express icon opencv-express

Template for using opencv-3.2 + contrib-3.2 with express.js and docker

opencv4nodejs icon opencv4nodejs

Asynchronous OpenCV 3.x API for node.js, with examples for: Face Detection, Machine Learning, Deep Neural Nets, Hand Gesture Recognition, Object Tracking, Feature Matching, Image Histogram

opensus icon opensus

Provide geostatistics and visualization on data about Brazilian SUS

opensus-inst-www icon opensus-inst-www

Web front end to R opencpu app. It will have two branchs: 1) webbapp: a front end completely independent and anware of R opencpu package. 2) inst-www: a web app compliance with dev model proposed by opencpu/R/Package apps: to have a standalone web app dependent only on R/opencpu-app in folder inst/www/ of the package directory structure.

osprey icon osprey

Generate Node.JS API middleware from a RAML definition

papaya icon papaya

A pure JavaScript medical research image viewer.

parse-dashboard icon parse-dashboard

A dashboard for managing your Parse apps that aren't hosted on Parse.com

pdf2html icon pdf2html

Convert PDF to HTML without losing text or format.

plasmo icon plasmo

🧩 The Browser Extension Framework

plotbras icon plotbras

Some simple economic and social indicators about Brazil. Data are retrieved from web datasets provided by well known organizations, such as United Nations Statistics Division Data, World Health Organization, World Bank... and so on

plotly.js icon plotly.js

The open source JavaScript graphing library that powers plotly

postman-chrome-extension icon postman-chrome-extension

Postman helps you be more efficient while working with APIs. Using Postman, you can construct complex HTTP requests quickly, organize them in collections and share them with your co-workers.

promptpapers icon promptpapers

Must-read papers on prompt-based tuning for pre-trained language models.

prophet icon prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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