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pyopencl

OpenCL integration for Python, plus shiny features

pyopencl-in-action

A work in progress to implement the code from OpenCL in Action by Matthew Scarpino in pyopencl

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

quadprog

:exclamation: This is a read-only mirror of the CRAN R package repository. quadprog — Functions to Solve Quadratic Programming Problems

quasar_cuda

quasarcl

r-in-action

Notes and Codes from Reading the book "R in Action"

r-tricks

Tip and tricks for R

raspberrypi-freertos

A port of FreeRTOS to the raspberry pi 2B. With USB+Ethernet+TCP/IP.

repo2docker

Turn git repositories into Jupyter enabled Docker Images

rmongodb

R driver for MongoDB

rmongodb.cran

rolog

rpilinuxlab

s3onegpio

Scratch 3 Extensions For Arduino, ESP-8266, and Raspberry Pi

sawshark_bootimg

huawei watch 2 lte

sawshark_kernel_ramdisk

Sawshark extracted boot.img

shurikdurik

portage overlay [bad, test] not working, not safe

signal-back

Decrypt Signal encrypted backups outside the app

slicerradiomics

A Slicer extension to provide a GUI around pyradiomics

sol-function-profiler

Solidity Contract Function Profiler

spark-mllib

Apache Spark is one of the most widely used and supported open-source tools for machine learning and big data. In this repo, discover how to work with this powerful platform for machine learning. This repo discusses MLlib—the Spark machine learning library—which provides tools for data scientists and analysts who would rather find solutions to business problems than code, test, and maintain their own machine learning libraries. Repo shows how to use DataFrames to organize data structure, and covers data preparation and the most commonly used types of machine learning algorithms: clustering, classification, regression, and recommendations. You will have experience loading data into Spark, preprocessing data as needed to apply MLlib algorithms, and applying those algorithms to a variety of machine learning problems.

spark-mllib-medium

This repo shows how to review and derive information from datasets using Python. First, get an overview of data science and how it open source libraries like Python can be used for your data analysis need. Then, discover how to set up labs and data interpreters. Next, learn about how you can use pandas, NumPy, and SciPy for numerical processing, scientific programming, and extensive data exploration. With these options at your disposal, you'll be ready for the following code which focuses on making predictions using machine learning tools, data classifiers, and clusters. The repo concludes with a look at big data and how PySpark can be used for computing.

spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

spark_python_do_big_data_analytics

Course materials in Udemy Apache Spark 2.0 + Python: Do Big Data Analytics & ML

spring-javafx-material-design-admin

Desktop Java (openjdk 11) application for management and sales with Spring Boot, JavaFX (openjfx 13) and Material Design

statswithr

stolon

PostgreSQL cloud native High Availability and more.

super-bootimg

Tools to edit Android boot.img. NDK buildable, to be usable in an update.zip

svmtutorial

This repository contains code samples from http://www.svm-tutorial.com/