Search Results for "data collection algorithm"
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Showing 5 open source projects for "data collection algorithm"
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Google Toolbox for Mac
Google Toolbox for Mac
Google Toolbox for Mac (GTMSession) is a comprehensive collection of open source Objective-C utilities and frameworks developed by Google to support macOS and iOS application development. It consolidates reusable code components drawn from various internal Google projects, offering developers a wide range of tools for building efficient, maintainable Apple platform software. The library includes modules for networking, logging, testing, data handling, and user interface extensions, helping developers avoid reinventing common functionality. ... -
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Software Engineering Blogs
A curated list of engineering blogs
Software Engineering Blogs is a curated collection of engineering-focused blog posts and resources aggregated from leading technology companies and developers. The repository serves as a centralized index that helps users discover high-quality technical content across a wide range of topics, including software engineering, system design, infrastructure, and data engineering. It is organized in a structured manner, making it easy to browse and find articles from specific companies or domains of interest. ... -
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Metasploit Framework
Metasploit Framework
...Built-in features include an exploit database, network scanners, credential harvesters, and frameworks to craft reliable payload delivery while handling target nuances like mitigation bypasses and platform differences. Beyond raw exploitation, the framework includes post-exploitation tooling for lateral movement, persistence, data exfiltration simulations, and evidence collection, enabling red teams to exercise detection and incident response workflows. -
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Decision Tree
ID3-based implementation of the ML Decision Tree algorithm
DecisionTree is a Ruby library that implements decision tree learning with the ID3 information-gain algorithm. It can train models from discrete, continuous, or mixed attribute data. Continuous features are evaluated across possible split points to build threshold-based binary branches. Discrete models classify unique labels and can be rendered for visual inspection. The library supports inconsistent datasets, multiple or symbolic outputs, and fallback values when no branch matches an input. ... -
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Evidence Locker is content management system designed to support the data collection and analysis portion of software based product evaluations.
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