Projects with this topic
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Materials on various sections in Computer Science (CS).
🎓 с с++ shell Bash makefile Git GitLab github SQL computer sci... PowerShell Mobile Devel... Android iOS devops game develop... Web Development JavaScript Java Python Docker HTML CSS TypeScript C++ Rust game Go C C# python3 nodejs golang Django Node.js MySQL Kotlin Windows PostgreSQL Flutter machine lear... js Ruby Qt Markdown R Swift cybersecurity Cyber Security bioinformatics deep learning big data NumPy pandas matplotlib scikit-learn scipy development softwareUpdated -
Build terminal apps for macOS.
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Implementations of Conway's Game of Life in as many programming languages as possible
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Project for conducting iOS engineer interviews at TrackVia. See TrackVia Careers for our open positions!
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iOS app that makes use of the NavajoKit toolchain to provide interlinear translations of Navajo text in English, a searchable bilingual dictionary, custom text tokenization, and detailed documentation
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Toolchain to translate the Navajo language into American English
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Non-blocking, event-driven Swift client for Redis. http://docs.redistack.info
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Shared framework for multiple HullBreach Studios apps
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a macOS menu bar app that highlights your mouse pointer with beautiful visual effects.
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DockerSwiftAPI is a simple library to interface with Docker using Swift.
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ReBite ist eine native iOS-App, die Nutzern dabei hilft, Lebensmittelverschwendung zu reduzieren und kreativer zu kochen. Basierend auf den aktuell im Kühlschrank vorhandenen Zutaten schlägt die App intelligente Rezepte vor. Sie kombiniert ein funktionales Rezept-Management mit intelligenten Filter- und Suchalgorithmen.
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Tech demo: hide-and-seek game using Bluetooth LE beacons
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Tech Demo: Several Machine Learning Experiments
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SwiftICP is a Swift Package that implements a three-dimensional Iterative Closest Point (ICP) aligner. It combines a fast KD-tree for nearest-neighbour search with Accelerate-powered singular value decomposition (SVD) to recover rigid-body transforms between point clouds.
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FFM allows for ffm to be implemented without the rubbish.
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Self study effort of native iOS application application development
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