Showing 3 open source projects for "computer-aided software engineering"

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    Maths, CS & AI Compendium

    Maths, CS & AI Compendium

    Become a cracked AI/ML Research Engineer

    Maths, CS & AI Compendium is an open educational project that explains mathematics, computing, and artificial intelligence from foundational concepts through advanced engineering topics. It favors intuition, practical context, and connected explanations over dense textbook notation. Its chapters cover vectors, matrices, calculus, statistics, probability, machine learning, language processing, computer vision, speech, multimodal learning, robotics, and graph neural networks. It also addresses operating systems, algorithms, production software, GPU programming, AI inference, and ML systems design. ...
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    Litmus

    Litmus

    Litmus helps SREs and developers practice chaos engineering

    LitmusChaos is an open source Chaos Engineering platform that enables teams to identify weaknesses & potential outages in infrastructures by inducing chaos tests in a controlled way. Developers & SREs can practice Chaos Engineering with Litmus as it is easy to use, based on modern chaos engineering principles & community collaboration. It is 100% open source & a CNCF project. Litmus takes a cloud-native approach to create, manage and monitor chaos. The platform itself runs as a set of...
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  • 3
    Codefather

    Codefather

    A programmer's guide to programming

    Codefather is a large programming learning resource and guide maintained by the creator “程序员鱼皮” (Programmer Yupi) that aggregates comprehensive learning pathways, tutorials, knowledge sharing, and practical project examples for many programming languages and technologies. It’s designed to serve as a one-stop programming encyclopedia that covers foundational learning routes for Java, front-end, Python, C++, algorithms, and core computer science topics, making it useful for beginners, career-changers, and students. In addition to structured learning paths, the repository includes curated educational content such as coding exercises, interview questions, study guides, and real-world project tutorials to help learners build skills systematically. The project combines technical explanations, resource links, community recommendations, and experience-based advice to guide learners through the complexities of software development and job preparation.
    Downloads: 0 This Week
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