Showing 4 open source projects for "data collection algorithm"

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  • Gen AI apps are built with MongoDB Atlas Icon
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  • 1
    CodeGuide

    CodeGuide

    This repository is a collection of the author, Xiao Fuge

    CodeGuide is a curated collection of Java development resources built from years of real-world engineering experience by the author, who has worked extensively in large-scale internet companies. The project serves as a structured and comprehensive learning path for developers who want to strengthen their understanding of Java fundamentals and core programming practices. It includes detailed explanations of design patterns, source code analysis, frameworks, algorithms, and real-world project...
    Downloads: 2 This Week
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  • 2
    LeetCode Master

    LeetCode Master

    About "Code Thoughts" LeetCode Practice Guide: 200 classic questions

    leetcode-master is a comprehensive collection of LeetCode solutions written in C++ and organized as a structured learning path for coding interview preparation. The repository contains detailed explanations, categorized problem sets, and step-by-step reasoning behind solutions, making it an effective study companion for developers preparing for technical interviews. Problems are grouped by topic—such as arrays, linked lists, dynamic programming, greedy algorithms, and graph theory—so learners...
    Downloads: 2 This Week
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  • 3
    OpenTelemetry Collector distributions

    OpenTelemetry Collector distributions

    OpenTelemetry Collector Official Releases

    High-quality, ubiquitous, and portable telemetry to enable effective observability. OpenTelemetry is a collection of APIs, SDKs, and tools. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. Create and collect telemetry from your services and software, then forward it to a variety of analysis tools. OpenTelemetry integrates with many popular libraries and frameworks, and supports code-based...
    Downloads: 1 This Week
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  • 4
    Generative AI Examples

    Generative AI Examples

    Generative AI Examples is a collection of GenAI examples

    Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness.
    Downloads: 0 This Week
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