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rasgoql

Write python locally, execute SQL in your database

razdel

Rule-based tokenizer, sentenizer for russian language

rbm-examples

Python code that implements a restricted Boltzmann machine and runs some tests

rbmsample

rbocpdms

Robust bayesian online changepoint detection with model selection

rclickhouse

A 'DBI' Interface to the Yandex Clickhouse Database Providing Basic 'dplyr' Support

rcpp-gallery

Source code for the Rcpp Gallery website

rcppcorels

R Bindings to the Certifiably Optimal Rule Lists (Corels) Learner

rcppeigen

Rcpp integration for the Eigen templated linear algebra library

rcppparallel

High-level functions for parallel programming with Rcpp

rdat

An R interface to data Dat

rdfrules

Analytics Engine for Rule Mining in RDF Knowledge Graphs

rdm

Relational data mining in python

rdom

rdrop2

Dropbox Interface from R

rds-mlbootcamp

Work area for my journey learning Data Science and Machine Learning Concepts through R

rdt

A library of Reversible Data Transforms

re4eee

An E-Learning Recommendation System for Engineering Education Teachers

react-facebook-pixel

React JS wrapper for Facebook's Pixel

reaction-ruleml

Reaction RuleML

read-and-process-files-larger-than-ram

Using the function read.table() to break file into chunks to loop and process them. This allows processing files of any size beyond what the machine's RAM can handle. Companion code for youtube: https://www.youtube.com/watch?v=Z5rMrI1e4kM

reading_material

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readr

Read flat files (csv, tsv, fwf) into R

reagent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

realestate_bidding_data_analysis

부동산 토지(대지) 경매 데이터 분석

realtime-action-detection

This repository host the code for real-time action detection paper

realtime-bitstamp

get real time bitstamp

realtime-security-monitoring-through-face-detection

Biometrics is an important aspect today. We wanted to implement this idea to Classrooms and emphasise on the Smart Attendance System. We wrote the code in Python and we used techniques such as Haar-Cascading to detect the trained object (face). There are 3 steps involved: Training, Testing and Prediction. A persons image will be captured in different light intensities and pose. These images are stored in the database. This is training. When the person faces the camera, his/her images will be verified with that of the trained images in the database. This is testing. The final step is the prediction, which tells us if it is a success ( when there is a match between the image captured and the images in the database) or a failure ( when there is no match between the image captured and the images in the database).

realtime-stock

Realtime Stock repository.

realtime-stock-data-processing

A high performance data processing platform using Big Data Analytics