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Listening to The Falling Rain
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Listening to The Falling Rain

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@Cotix-AI

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imbue-bit/README.md

我是初中生,所以在处理 pull requests 与 issues 时也许效率会很低,见谅。:)

I'm a junior high school student, so I might be quite inefficient when dealing with pull requests and issues. Please excuse me. :)

#include <stdio.h>

struct Skills {
    struct Languages {
        const char* proficient[6];
        const char* familiar[4];
        const char* exploring[5];
    } languages;

    struct Frontend {
        const char* frameworks_libraries[4];
        const char* styling[5];
        const char* state_management[3];
        const char* tools[3];
    } frontend;

    struct Backend {
        const char* frameworks_runtime[4];
        const char* databases[4];
        const char* orms[3];
        const char* apis[2];
    } backend;
    
    struct DataScience {
        const char* libraries[2];
        const char* tools[2];
    } data_science;

    struct DevOpsAndCloud {
        const char* containerization[2];
        const char* ci_cd[1];
        const char* cloud_platforms[3];
    } devops;

    struct ToolsAndEnvironment {
        const char* version_control[2];
        const char* editors_ides[3];
        const char* operating_systems[3];
        const char* design_tools[2];
    } tools;
};

struct AboutMe {
    const char* name;
    const int age;
    const char* gender;
    const char* interests[5];
    struct Skills skills;
};

struct AboutMe me = {
    .name = "imbue",
    .age = 14,
    .gender = "Female",
    .interests = {
        "Competitive Programming",
        "Full-Stack Development",
        "Open Source Contribution",
        "UI/UX Design",
        "Algorithm Design"
    },
    .skills = {
        .languages = {
            .proficient = { "C++", "Python", "JavaScript", "TypeScript", "HTML5", "CSS3" },
            .familiar = { "Rust", "Go", "Java", "SQL" },
            .exploring = { "Haskell", "Lisp", "C", "x86 Assembly", "QASM" }
        },
        .frontend = {
            .frameworks_libraries = { "React", "Next.js", "Vue.js", "Svelte" },
            .styling = { "Tailwind CSS", "Sass/SCSS", "Bootstrap", "Material-UI", "Styled-components" },
            .state_management = { "Redux", "Zustand", "Pinia" },
            .tools = { "Vite", "Webpack", "Babel" }
        },
        .backend = {
            .frameworks_runtime = { "Node.js", "Express.js", "FastAPI (Python)", "Actix Web (Rust)" },
            .databases = { "PostgreSQL", "MySQL", "MongoDB", "Redis" },
            .orms = { "Prisma", "SQLAlchemy (Python)", "Sequelize" },
            .apis = { "RESTful APIs", "GraphQL (Apollo)" }
        },
        .data_science = {
            .libraries = { "Python (NumPy, Pandas, Matplotlib, Scikit-learn)", "R (ggplot2)" },
            .tools = { "Jupyter Notebook", "SQL" }
        },
        .devops = {
            .containerization = { "Docker", "Docker Compose" },
            .ci_cd = { "GitHub Actions" },
            .cloud_platforms = { "Vercel", "Netlify", "AWS (EC2, S3) - Basic" }
        },
        .tools = {
            .version_control = { "Git", "GitHub" },
            .editors_ides = { "VS Code", "Neovim", "JetBrains IDEs" },
            .operating_systems = { "Linux (Ubuntu, Arch, CentOS, Rocky Linux)", "Windows (with WSL2)", "macOS" },
            .design_tools = { "Figma", "Adobe XD" }
        }
    }
};

Readme Quotes


Index Of /

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  1. Cotix-AI/TextGAN-Researcher Cotix-AI/TextGAN-Researcher Public

    🧐 Open Deep Research Agent: Automated Knowledge Discovery with TextGAN

    Python 94 4

  2. Cotix-AI/Deep-Think Cotix-AI/Deep-Think Public

    🌲 We introduce LLM-UCT, a MCTS sampling framework specifically designed for large language models (LLMs), to address the unique challenges and requirements of such models.

    Python 15 2

  3. Cotix-AI/CodeCCAT Cotix-AI/CodeCCAT Public

    🛸 A micro language model for code completion and generation, public datasets, weights and code

    Python 5