Search Results for "data envelopment analysis package" - Page 5
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Showing 249 open source projects for "data envelopment analysis package"
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Security Code Scan
Vulnerability Patterns Detector for C# and VB.NET
...Other editors that support Roslyn-based analyzers like Rider or OmniSharp should work too. Security Code Scan (SCS) is not a Linter. It is a real static analysis tool that does extensive computations. Thus installing it as a Visual Studio extension or NuGet package will slow down your Visual Studio IDE. -
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Infoooze
A OSINT tool which helps you to quickly find information effectively.
infoooze is an open-source information-gathering tool for cybersecurity and OSINT (Open-Source Intelligence) purposes. It automates the process of collecting public data about domains, emails, IP addresses, and more. -
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R-package to perform analysis of landmark based geometric morphometrics. Installation instructions: https://github.com/zarquon42b/Morpho/blob/master/README.md
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Log4jScanner
A log4j vulnerability filesystem scanner and Go package
log4jscanner is a filesystem scanner and Go package that helps organizations quickly identify vulnerable Log4j components inside JARs and shaded dependencies. Instead of probing networks, it walks directories and archives, including nested JARs, to find version fingerprints and risky classes associated with the Log4Shell family of issues. The focus on static analysis makes it suitable for container images, build artifacts, and offline systems where active scanning isn’t feasible. Clear,... -
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Statistical Rethinking 2022
Statistical Rethinking course winter 2022
This repository hosts the 2022 version of the Statistical Rethinking course. It contains course materials such as R scripts, notebooks, and worked examples aligned with McElreath’s textbook. The code emphasizes Bayesian data analysis using R, the rethinking package, and Stan models. It includes lecture code files, example datasets, and structured exercises that parallel the topics covered in the lectures (probability, regression, model comparison, Bayesian updating). The repo functions as a direct hands-on reference for students following the 2022 recorded lecture series. ... -
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MiModD
Mutation Identification in Model Organism Genomes using Desktop PCs
MiModD is a software package for genomic variant identification from next-generation sequencing (NGS) data with optimized usage of system resources and a user-friendly interface. For most model organism genomes it lets the user carry out a complete analysis from unaligned genomic NGS read data to an annotated list of variants on a regular Desktop PC within a few hours. -
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Interpret-Text
State-of-the-art explainers for text-based machine learning models
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard. Interpret-Text builds on Interpret, an open source python package for training interpretable models and helping to explain blackbox machine learning systems. We have added extensions to support text models. Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results.... -
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Airborne Data Testing and Evaluation
Package for testing software used in airborne atmospheric research.
The Airborne Data Testing and Evaluation (ADTAE) project develops open source resources to test and evaluate software used to process and analyse measurements from scientific instrument deployed on airborne platforms. Many of the resources are designed to work with the Airborne Data Processing and Analysis (ADPAA) software package (http://adpaa.sourceforge.net). -
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Temporal.jl
Time series implementation for the Julia language
This package provides a flexible & efficient time series class, TS, for the Julia programming language. While still early in development, the overarching goal is for the class to be able to slice & dice data with the rapid prototyping speed of R's xts and Python's pandas packages, while retaining the performance one expects from Julia. See the documentation for a more in-depth look at the package and some of the pain points it may solve when doing technical research with time series data. -
Powerful Website Security | Continuous Web Threat PlatformReflectiz is a comprehensive web exposure management platform that helps organizations proactively identify, monitor, and mitigate security, privacy, and compliance risks across their online environments. Designed to address the growing complexity of modern websites, Reflectiz provides full visibility and control over first, third, and even fourth-party components, such as scripts, trackers, and open-source libraries that often evade traditional security tools.
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Stats With Julia Book
Collection of runnable Julia code examples for a statistics book
StatsWithJuliaBook is the companion code repository for the book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability theory and data summarization to regression analysis, hypothesis testing, and machine learning basics. The repository is designed for Julia users and provides ready-to-run examples that reinforce theoretical concepts with practical implementation. ... -
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LightGraphs
An optimized graphs package for the Julia programming language
LightGraphs offers both (a) a set of simple, concrete graph implementations -- Graph (for undirected graphs) and DiGraph (for directed graphs), and (b) an API for the development of more sophisticated graph implementations under the AbstractGraph type. The project goal is to mirror the functionality of robust network and graph analysis libraries such as NetworkX while being simpler to use and more efficient than existing Julian graph libraries such as Graphs.jl. It is an explicit design... -
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Laravel MySQL Spatial extension
MySQL Spatial Data Extension integration with Laravel.
Laravel package to easily work with MySQL Spatial Data Types and MySQL Spatial Functions. Please check the documentation for your MySQL version. MySQL's Extension for Spatial Data was added in MySQL 5.5 but many Spatial Functions were changed in 5.6 and 5.7. -
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Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
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WhyLogs Java Library
Profile and monitor your ML data pipeline end-to-end
This is a Java implementation of WhyLogs, with support for Apache Spark integration for large scale datasets. Understanding the properties of data as it moves through applications is essential to keeping your ML/AI pipeline stable and improving your user experience, whether your pipeline is built for production or experimentation. WhyLogs is an open source statistical logging library that allows data science and ML teams to effortlessly profile ML/AI pipelines and applications, producing log files that can be used for monitoring, alerts, analytics, and error analysis. ... -
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Zipline
Zipline, a Pythonic algorithmic trading library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python... -
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R Markdown Cookbook
R Markdown Cookbook
R Markdown Cookbook. A range of tips and tricks to make better use of R Markdown. R Markdown is a powerful tool for combining analysis and reporting into the same document. Since the birth of the rmarkdown package (Allaire, Xie, Dervieux, McPherson, et al. 2023) in early 2014, R Markdown has grown substantially from a package that supports a few output formats, to an extensive and diverse ecosystem that supports the creation of books, blogs, scientific articles, websites, and even resumes. -
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Gizmo Microservice Toolkit
A Microservice Toolkit from The New York Times
At The New York Times, our development teams have been adopting the Go programming language over the last three years to build better back-end services. In the past I’ve written about using Go for Elastic MapReduce streaming. I’ve also talked about using Go at GothamGo for news analysis and to improve our email and alert systems at the Golang NYC Meetup. We use Go for a wide variety of tasks, but the most common use throughout the company is for building JSON APIs. When we first began... -
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palmerpenguins
A great intro dataset for data exploration & visualization
palmerpenguins is an R package offering real-world ecological data from the Palmer Archipelago penguin species—Adélie, Chinstrap, and Gentoo. Designed as a more engaging alternative to the classical iris dataset, it provides size measurements, clutch information, and blood isotope data for teaching, visualization, and analytics practice. -
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Hiper
A statistical analysis tool for performance testing
...The tool relies on browser performance timing data to capture metrics such as DNS lookup time, TCP connection time, time to first byte, download duration, DOM readiness, and total page load time. Hiper runs from the command line and can be installed globally using Node.js package managers, making it simple to integrate into development or testing workflows. -
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IPAC-NG is the iptables/ipchains based IP accounting package for Linux. It collects, summarizes, and nicely displays IP accounting data. Ipchains and (preferably) iptables are supported. Logs are stored in files, a gdbm or a PostgreSQL database.
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BDS
Blockchain data parsing and persisting results
JD Cloud Blockchain Data Service (BDS) is a real-time data aggregating, analyzing, and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains. Splitter is the key module of Blockchain Data Service (BDS) and provides data analysis capability. Splitter is responsible for consuming blockchain data from message queue (kafka) and inserting data into persistent data storage services (relational database, data warehouse, etc.) for further processing. Before... -
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GDINA Package for Cognitively Diagnostic
Package for Cognitively Diagnostic Analyses
Estimating G-DINA model and a variety of widely-used models subsumed by the G-DINA model, including the DINA model, DINO model, additive-CDM (A-CDM), linear logistic model (LLM), reduced reparametrized unified model (RRUM), multiple-strategy DINA model for dichotomous responses. Estimating models within the G-DINA model framework using user-specified design matrix and link functions. Estimating Bugs-DINA, DINO and G-DINA models for dichotomous responses. Estimating sequential G-DINA model... -
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ggplot2-book
ggplot2: elegant graphics for data analysis
The ggplot2-book repository contains the source for ggplot2: Elegant Graphics for Data Analysis, written by Hadley Wickham. The book explains the theory and application of the ggplot2 package in R for data visualization, guiding readers through its layered grammar of graphics approach. It serves as both a practical guide and conceptual reference for building advanced plots and mastering ggplot2. -
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Camino is a free, open-source software package for simulation, analysis and reconstruction of Diffusion MRI data. Download the latest version of the code by clicking the "Code" tab and then "Download Snapshot". The green download button will get the latest major change (updated less frequently). For tutorials and more information, visit http://camino.org.uk. CAMINO IS A RESEARCH TOOL ONLY AND SHOULD NOT BE USED FOR CLINICAL PURPOSES.
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spark-ml-source-analysis
Spark ml algorithm principle analysis and specific source code
spark-ml-source-analysis is a technical repository that analyzes the internal implementation of machine learning algorithms within Apache Spark’s MLlib library. The project aims to help developers and data scientists understand how distributed machine learning algorithms are implemented and optimized inside the Spark ecosystem. Instead of providing a runnable software system, the repository focuses on explaining algorithm principles and examining the underlying source code used in Spark’s machine learning package.
