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WecoAI/aideml

默认分支 main · commit 40dcf28f · 扫描时间 2026/7/1 03:32:22

星标 1,333 · Fork 197

本仓库扫描历史

下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。

分数趋势(左 → 右:旧 → 新)

共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。

AI 可见性总分
40 /100
亟需修复
品类召回
0 / 2
在所有问题中均未被推荐
规则结果
通过 2 · 警告 0 · 失败 0
客观元数据检查
AI 认识你的名字
3 / 3
直接询问时,AI 是否点名你的仓库
如何阅读这份报告

行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 WecoAI/aideml 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。

行动计划 — 可复制粘贴的修复

3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。

整体方向
  • highreadme#1
    Reposition README opening to clarify agentic ML R&D focus

    原因:

    当前
    AIDE ML is the open‑source “reference build” of the AIDE algorithm, a tree‑search agent that autonomously drafts, debugs and benchmarks code until a user‑defined metric is maximised (or minimised). It ships as a *research‑friendly* Python package with batteries‑included utilities (CLI, visualisation, config presets) so that academics and engineer‑researchers can **replicate the paper, test new ideas, or prototyping ML pipelines**.
    复制粘贴的修复
    AIDE ML is the open‑source “reference build” of the AIDE algorithm, an **LLM-driven agent specifically designed for autonomous ML R&D**. It goes beyond traditional AutoML by autonomously drafting, debugging, and benchmarking machine learning code until a user‑defined metric is maximised (or minimised). This *research‑friendly* Python package provides batteries‑included utilities (CLI, visualisation, config presets) for academics and engineer‑researchers to **replicate the paper, test new ideas, or prototype advanced ML pipelines**.
  • mediumcomparison#2
    Add a 'Comparison' section to differentiate from AutoML and general LLM agents

    原因:

    复制粘贴的修复
    ## How AIDE ML Compares
    
    AIDE ML is an LLM-driven agent focused on automating the entire ML R&D lifecycle, from code generation to evaluation and improvement. This differentiates it from:
    
    *   **Traditional AutoML Platforms (e.g., Google Cloud AutoML, H2O.ai AutoML):** While AutoML platforms automate parts of the ML pipeline (like model selection or hyperparameter tuning), AIDE ML operates as an autonomous agent that writes, debugs, and optimizes *code itself*, enabling more flexible and complex research workflows.
    *   **General LLM Agents (e.g., AutoGPT, MetaGPT, CrewAI):** Unlike general-purpose agents that can perform a wide array of tasks, AIDE ML is specialized for machine learning engineering. Its core algorithm and tools are optimized for navigating the space of ML code, making it highly effective for ML-specific research and development.
  • lowreadme#3
    Complete and expand the 'Who should use it?' section

    原因:

    当前
    ### Who should use it?
    
    Agent‑archite
    复制粘贴的修复
    ### Who should use it?
    
    AIDE ML is ideal for:
    
    *   **ML Researchers & Academics:** To replicate papers, test novel algorithmic ideas, and accelerate experimental workflows.
    *   **ML Engineers & Data Scientists:** For prototyping advanced ML pipelines, automating repetitive coding tasks, and exploring new model architectures more efficiently.
    *   **Agent Architects:** Those interested in LLM-driven autonomous agents specifically applied to complex code generation and optimization problems within machine learning.

本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash

品类可见性 — 真正的 GEO 测试

向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?

各模型使用同一组问题 — 切换标签对比回答与排名。

召回
0 / 2
0% 的问题里出现了 WecoAI/aideml
平均排名
越小越好。#1 表示首位推荐。
声量占比
0%
在所有被点名的工具中,你占了多少?
头号对手
Google Cloud AutoML
在 2 个问题中被推荐 1 次
竞品排行
  1. Google Cloud AutoML · 被推荐 1 次
  2. H2O.ai AutoML · 被推荐 1 次
  3. Azure Machine Learning automated ML · 被推荐 1 次
  4. Optuna · 被推荐 1 次
  5. Ray Tune · 被推荐 1 次
  • 品类问题
    How to automate machine learning model development and code optimization using AI agents?
    你:未被推荐
    AI 推荐顺序:
    1. Google Cloud AutoML
    2. H2O.ai AutoML
    3. Azure Machine Learning automated ML
    4. Optuna
    5. Ray Tune
    6. Weights & Biases Sweeps
    7. AutoKeras
    8. NNI (Neural Network Intelligence)
    9. Snyk Code
    10. GitHub Copilot
    11. AlphaCode (DeepMind)

    AI 推荐了 11 个替代方案,却始终没点名 WecoAI/aideml。这就是要补上的差距。

    查看 AI 完整回答
  • 品类问题
    Looking for an LLM-powered agent to autonomously improve machine learning code and research workflows.
    你:未被推荐
    AI 推荐顺序:
    1. AutoGPT
    2. MetaGPT
    3. Smol Developer
    4. Open Interpreter
    5. CrewAI
    6. LangChain Agents

    AI 推荐了 6 个替代方案,却始终没点名 WecoAI/aideml。这就是要补上的差距。

    查看 AI 完整回答

客观检查

针对 AI 引擎最看重的元数据信号的规则审计。

  • Metadata completeness
    pass

  • README presence
    pass

自指检查

当被直接问到你时,AI 是否还知道你的仓库存在?

  • Compared to common alternatives in this category, what is the core differentiator of WecoAI/aideml?
    pass
    AI 明确点名了 WecoAI/aideml

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • If a team adopts WecoAI/aideml in production, what risks or prerequisites should they evaluate first?
    pass
    AI 明确点名了 WecoAI/aideml

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • In one sentence, what problem does the repo WecoAI/aideml solve, and who is the primary audience?
    pass
    AI 明确点名了 WecoAI/aideml

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

嵌入你的 GEO 徽章

把这个徽章贴进 WecoAI/aideml 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。

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订阅 Pro,解锁深度诊断

WecoAI/aideml — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。

  • 深度报告每月 10 次
  • 无品牌品类查询5,轻量 2
  • 优先行动项8,轻量 3