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Search: data-collection
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Showing 10 results from 2,130
autodesk-platform-services/aps-powerbi-tools
GitHub JavaScript MIT LicenseCollection of tools for accessing Autodesk Platform Services design data - 2D/3D views as well as element properties - from Power BI reports.
External source
GitHub
das-jishu/data-structures-basics-leetcode
GitHub Python MIT LicenseBasic problems + solutions on data structures and algorithms grouped by category. It also has an ever-growing collection of Leetcode problems and solutions.
External source
GitHub
DeepNinja07x/Python_Scripts
GitHub Python The UnlicenseIt contains all the Python Programs, whether it's a GUI, basic, Data Structures, etc. It's a collection of some great Python scripts from basic to advance levels for automating some monotonous tasks.
External source
GitHub
rishikonapure/machine-learning-resources
GitHubCollection of Project Tutorials / blogs in python, web applications, machine learning, data science, deep learning
External source
GitHub
nikel-api/nikel
GitHub Go MIT LicenseA collection of data APIs for the University of Toronto
External source
GitHub
dye784/Algos-and-Data-Structures
GitHub JavaScriptCollection of Test Specs and Implementation of various algorithms and data structures from the Princeton Coursera course: Intro to Algorithms part 1 and 2
External source
GitHub
nicolastakashi/linq-to-type
GitHub TypeScript MIT LicenseLibrary inspired by the Linq .NET, which allows the manipulation of data collections using the famous lambda expressions
External source
GitHub
EEA-sensors/sequential-parallelization-examples
GitHub Jupyter Notebook MIT LicenseThis is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
External source
GitHub
Marekkon5/discogstagger
GitHub HTML MIT LicenseSimple Rust + Webview app to automatically tag your music collection using data from Discogs.
External source
GitHub
emre-kocyigit/phishing-website-detection-content-based
GitHub Python MIT LicenseThis is an End-to-End Machine Learning Project which focuses on phishing websites to classify phishing and legitimate ones. Particularly, I focused on content-based features like html tag based features. You can find feature extraction, data collection, preparation process here. Also, building ML... Read more
External source
GitHub
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