{"id":169,"date":"2023-10-23T17:53:38","date_gmt":"2023-10-23T09:53:38","guid":{"rendered":"http:\/\/ai.gitpp.com\/?p=169"},"modified":"2023-10-23T19:15:06","modified_gmt":"2023-10-23T11:15:06","slug":"github%e4%b8%8a%e6%9c%89%e5%be%88%e5%a4%9a%e5%b8%ae%e5%8a%a9%e7%a7%91%e5%ad%a6%e7%a0%94%e7%a9%b6%e7%9a%84%e5%bc%80%e6%ba%90%e8%bd%af%e4%bb%b6","status":"publish","type":"post","link":"http:\/\/ai.gitpp.com\/index.php\/2023\/10\/23\/github%e4%b8%8a%e6%9c%89%e5%be%88%e5%a4%9a%e5%b8%ae%e5%8a%a9%e7%a7%91%e5%ad%a6%e7%a0%94%e7%a9%b6%e7%9a%84%e5%bc%80%e6%ba%90%e8%bd%af%e4%bb%b6\/","title":{"rendered":"GitHub\u4e0a\u6709\u5f88\u591a\u5e2e\u52a9\u79d1\u5b66\u7814\u7a76\u7684\u5f00\u6e90\u8f6f\u4ef6"},"content":{"rendered":"\n

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GitHub\u4e0a\u6709\u5f88\u591a\u5e2e\u52a9\u79d1\u5b66\u7814\u7a76\u7684\u5f00\u6e90\u8f6f\u4ef6\uff0c\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u4f8b\u5b50\uff1a<\/p>\n\n\n\n

    \n
  1. Jupyter Notebook\uff1aJupyter Notebook\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u4ea4\u4e92\u5f0f\u8ba1\u7b97\u73af\u5883\uff0c\u53ef\u4ee5\u7528\u4e8e\u7f16\u5199\u548c\u5171\u4eab\u4ee3\u7801\u3001\u6587\u6863\u548c\u6570\u636e\u5206\u6790\u3002\u5b83\u5e7f\u6cdb\u5e94\u7528\u4e8e\u79d1\u5b66\u7814\u7a76\u9886\u57df\uff0c\u53ef\u4ee5\u8fdb\u884c\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60\u3001\u6570\u636e\u53ef\u89c6\u5316\u7b49\u5de5\u4f5c\u3002<\/li>\n\n\n\n
  2. TensorFlow\uff1aTensorFlow\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u53ef\u7528\u4e8e\u6784\u5efa\u548c\u8bad\u7ec3\u5404\u79cd\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\u548c\u5e93\uff0c\u65b9\u4fbf\u79d1\u5b66\u7814\u7a76\u4eba\u5458\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u548c\u673a\u5668\u5b66\u4e60\u7684\u5b9e\u9a8c\u548c\u7814\u7a76\u3002<\/li>\n\n\n\n
  3. PyTorch\uff1aPyTorch\u662f\u53e6\u4e00\u4e2a\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u4e5f\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u79d1\u5b66\u7814\u7a76\u9886\u57df\u3002\u5b83\u63d0\u4f9b\u4e86\u52a8\u6001\u8ba1\u7b97\u56fe\u548c\u4e30\u5bcc\u7684\u795e\u7ecf\u7f51\u7edc\u5e93\uff0c\u53ef\u7528\u4e8e\u6784\u5efa\u548c\u8bad\u7ec3\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002<\/li>\n\n\n\n
  4. Scikit-learn\uff1aScikit-learn\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u63d0\u4f9b\u4e86\u5404\u79cd\u5e38\u7528\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u548c\u5de5\u5177\u3002\u5b83\u53ef\u4ee5\u5e2e\u52a9\u79d1\u5b66\u7814\u7a76\u4eba\u5458\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\u3001\u7279\u5f81\u9009\u62e9\u3001\u6a21\u578b\u8bc4\u4f30\u7b49\u5de5\u4f5c\u3002<\/li>\n\n\n\n
  5. R\uff1aR\u662f\u4e00\u79cd\u6d41\u884c\u7684\u7edf\u8ba1\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u8bed\u8a00\uff0c\u4e5f\u6709\u5f88\u591a\u4e0e\u79d1\u5b66\u7814\u7a76\u76f8\u5173\u7684\u5f00\u6e90\u8f6f\u4ef6\u9879\u76ee\u3002\u4f8b\u5982\uff0cggplot2\u662f\u4e00\u4e2a\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u7684R\u5305\uff0cShiny\u662f\u4e00\u4e2a\u7528\u4e8e\u6784\u5efa\u4ea4\u4e92\u5f0fWeb\u5e94\u7528\u7684R\u5305\u3002<\/li>\n\n\n\n
  6. OpenCV\uff1aOpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u63d0\u4f9b\u4e86\u5404\u79cd\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u7b97\u6cd5\u3002\u5b83\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u79d1\u5b66\u7814\u7a76\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u3002<\/li>\n\n\n\n
  7. Pandas\uff1aPandas\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002\u5b83\u53ef\u4ee5\u5e2e\u52a9\u79d1\u5b66\u7814\u7a76\u4eba\u5458\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u53ef\u89c6\u5316\u7b49\u5de5\u4f5c\u3002<\/li>\n<\/ol>\n\n\n\n

    \u8fd9\u53ea\u662f\u4e00\u5c0f\u90e8\u5206\u5728GitHub\u4e0a\u5e2e\u52a9\u79d1\u5b66\u7814\u7a76\u7684\u5f00\u6e90\u8f6f\u4ef6\uff0c\u8fd8\u6709\u8bb8\u591a\u5176\u4ed6\u9879\u76ee\u4e5f\u975e\u5e38\u6709\u7528\u3002\u79d1\u5b66\u7814\u7a76\u4eba\u5458\u53ef\u4ee5\u5728GitHub\u4e0a\u6d4f\u89c8\u5404\u79cd\u76f8\u5173\u9886\u57df\u7684\u9879\u76ee\uff0c\u627e\u5230\u9002\u5408\u81ea\u5df1\u7814\u7a76\u9700\u6c42\u7684\u5f00\u6e90\u8f6f\u4ef6\u3002<\/p>\n\n\n\n

    <\/p>\n\n\n\n

    <\/p>\n\n\n\n

    \u6587\u732e\u7ba1\u7406<\/p>\n\n\n\n

    <\/p>\n\n\n\n

    GitHub\u4e0a\u4e5f\u6709\u4e00\u4e9b\u5e2e\u52a9\u79d1\u5b66\u5bb6\u8fdb\u884c\u8bba\u6587\u7814\u7a76\u7684\u5f00\u6e90\u8f6f\u4ef6\uff0c\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u4f8b\u5b50\uff1a<\/p>\n\n\n\n

      \n
    1. LaTeX\uff1aLaTeX\u662f\u4e00\u79cd\u5e38\u7528\u7684\u6392\u7248\u7cfb\u7edf\uff0c\u88ab\u5e7f\u6cdb\u7528\u4e8e\u79d1\u5b66\u8bba\u6587\u7684\u64b0\u5199\u548c\u6392\u7248\u3002\u5728GitHub\u4e0a\u6709\u8bb8\u591a\u5173\u4e8eLaTeX\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u5305\u62ec\u6a21\u677f\u3001\u6837\u5f0f\u6587\u4ef6\u3001\u63d2\u4ef6\u7b49\uff0c\u53ef\u4ee5\u5e2e\u52a9\u79d1\u5b66\u5bb6\u66f4\u597d\u5730\u64b0\u5199\u548c\u6392\u7248\u8bba\u6587\u3002<\/li>\n\n\n\n
    2. Overleaf\uff1aOverleaf\u662f\u4e00\u4e2a\u57fa\u4e8eWeb\u7684LaTeX\u7f16\u8f91\u5668\uff0c\u53ef\u4ee5\u534f\u4f5c\u7f16\u8f91\u548c\u5171\u4eabLaTeX\u6587\u6863\u3002\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6a21\u677f\u548c\u5de5\u5177\uff0c\u65b9\u4fbf\u79d1\u5b66\u5bb6\u8fdb\u884c\u8bba\u6587\u5199\u4f5c\u548c\u5408\u4f5c\u3002Overleaf\u4e5f\u5728GitHub\u4e0a\u6709\u76f8\u5e94\u7684\u5f00\u6e90\u9879\u76ee\u3002<\/li>\n\n\n\n
    3. Zotero\uff1aZotero\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u53c2\u8003\u6587\u732e\u7ba1\u7406\u5de5\u5177\uff0c\u53ef\u4ee5\u5e2e\u52a9\u79d1\u5b66\u5bb6\u6536\u96c6\u3001\u6574\u7406\u548c\u5f15\u7528\u53c2\u8003\u6587\u732e\u3002\u5b83\u63d0\u4f9b\u4e86\u6d4f\u89c8\u5668\u63d2\u4ef6\u548c\u684c\u9762\u5e94\u7528\u7a0b\u5e8f\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u4fdd\u5b58\u548c\u7ba1\u7406\u6587\u732e\u4fe1\u606f\u3002\u5728GitHub\u4e0a\u6709\u4e00\u4e9b\u4e0eZotero\u76f8\u5173\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u5982\u63d2\u4ef6\u5f00\u53d1\u3001\u5bfc\u5165\u5bfc\u51fa\u5de5\u5177\u7b49\u3002<\/li>\n\n\n\n
    4. Mendeley\uff1aMendeley\u662f\u53e6\u4e00\u4e2a\u5e38\u7528\u7684\u53c2\u8003\u6587\u732e\u7ba1\u7406\u5de5\u5177\uff0c\u4e5f\u6709\u4e00\u4e9b\u4e0e\u4e4b\u76f8\u5173\u7684\u5f00\u6e90\u9879\u76ee\u3002Mendeley\u53ef\u4ee5\u5e2e\u52a9\u79d1\u5b66\u5bb6\u7ec4\u7ec7\u548c\u5206\u4eab\u6587\u732e\u5e93\uff0c\u8fdb\u884c\u6587\u732e\u9605\u8bfb\u548c\u6ce8\u91ca\u3002<\/li>\n\n\n\n
    5. Paperpile\uff1aPaperpile\u662f\u4e00\u4e2a\u57fa\u4e8eWeb\u7684\u53c2\u8003\u6587\u732e\u7ba1\u7406\u5de5\u5177\uff0c\u7279\u522b\u9002\u7528\u4e8eGoogle\u6587\u6863\u548cGoogle Scholar\u7684\u96c6\u6210\u3002\u5b83\u53ef\u4ee5\u5e2e\u52a9\u79d1\u5b66\u5bb6\u65b9\u4fbf\u5730\u6536\u96c6\u3001\u7ba1\u7406\u548c\u5f15\u7528\u53c2\u8003\u6587\u732e\u3002Paperpile\u4e5f\u6709\u4e00\u4e9b\u4e0e\u4e4b\u76f8\u5173\u7684\u5f00\u6e90\u9879\u76ee\u3002<\/li>\n\n\n\n
    6. Pandoc\uff1aPandoc\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u6587\u6863\u8f6c\u6362\u5de5\u5177\uff0c\u53ef\u4ee5\u5c06\u4e0d\u540c\u683c\u5f0f\u7684\u6587\u6863\u76f8\u4e92\u8f6c\u6362\u3002\u79d1\u5b66\u5bb6\u53ef\u4ee5\u4f7f\u7528Pandoc\u5c06\u8bba\u6587\u4ece\u4e00\u79cd\u683c\u5f0f\uff08\u5982Markdown\uff09\u8f6c\u6362\u4e3a\u5176\u4ed6\u683c\u5f0f\uff08\u5982PDF\u3001Word\u7b49\uff09\uff0c\u4ee5\u4fbf\u4e8e\u64b0\u5199\u3001\u7f16\u8f91\u548c\u53d1\u5e03\u3002<\/li>\n<\/ol>\n\n\n\n

      \u8fd9\u53ea\u662f\u4e00\u5c0f\u90e8\u5206\u5728GitHub\u4e0a\u5e2e\u52a9\u79d1\u5b66\u5bb6\u8fdb\u884c\u8bba\u6587\u7814\u7a76\u7684\u5f00\u6e90\u8f6f\u4ef6\uff0c\u8fd8\u6709\u8bb8\u591a\u5176\u4ed6\u9879\u76ee\u4e5f\u975e\u5e38\u6709\u7528\u3002\u79d1\u5b66\u5bb6\u53ef\u4ee5\u5728GitHub\u4e0a\u641c\u7d22\u4e0e\u8bba\u6587\u7814\u7a76\u76f8\u5173\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u627e\u5230\u9002\u5408\u81ea\u5df1\u9700\u6c42\u7684\u8f6f\u4ef6\u5de5\u5177\u3002<\/p>\n\n\n\n

      <\/p>\n\n\n\n

      <\/p>\n\n\n\n

      Scikit-learn\u662f\u4e00\u4e2a\u57fa\u4e8ePython\u7684\u5f00\u6e90\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u548c\u5de5\u5177\uff0c\u53ef\u7528\u4e8e\u6570\u636e\u6316\u6398\u548c\u6570\u636e\u5206\u6790\u3002\u4ee5\u4e0b\u662fScikit-learn\u7684\u4e00\u4e9b\u4e3b\u8981\u7279\u70b9\u548c\u529f\u80fd\uff1a<\/p>\n\n\n\n

        \n
      1. \u7b97\u6cd5\u4e30\u5bcc\uff1aScikit-learn\u63d0\u4f9b\u4e86\u5305\u62ec\u5206\u7c7b\u3001\u56de\u5f52\u3001\u805a\u7c7b\u3001\u964d\u7ef4\u3001\u6a21\u578b\u9009\u62e9\u7b49\u5728\u5185\u7684\u591a\u79cd\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u3002\u8fd9\u4e9b\u7b97\u6cd5\u5305\u62ec\u7ebf\u6027\u56de\u5f52\u3001\u903b\u8f91\u65af\u8482\u56de\u5f52\u3001\u51b3\u7b56\u6811\u3001\u968f\u673a\u68ee\u6797\u3001\u652f\u6301\u5411\u91cf\u673a\u3001K\u5747\u503c\u805a\u7c7b\u7b49\u3002\u7528\u6237\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u9009\u62e9\u9002\u5408\u7684\u7b97\u6cd5\u8fdb\u884c\u5efa\u6a21\u548c\u5206\u6790\u3002<\/li>\n\n\n\n
      2. \u4e00\u81f4\u7684API\uff1aScikit-learn\u7684\u6240\u6709\u7b97\u6cd5\u90fd\u9075\u5faa\u7edf\u4e00\u7684API\u8bbe\u8ba1\uff0c\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u65b9\u4fbf\u5730\u5207\u6362\u548c\u6bd4\u8f83\u4e0d\u540c\u7684\u7b97\u6cd5\u3002\u8fd9\u4e00API\u8bbe\u8ba1\u5305\u62ecfit()\u3001predict()\u3001transform()\u7b49\u65b9\u6cd5\uff0c\u7b80\u5316\u4e86\u7b97\u6cd5\u7684\u4f7f\u7528\u548c\u96c6\u6210\u3002<\/li>\n\n\n\n
      3. \u6570\u636e\u9884\u5904\u7406\uff1aScikit-learn\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u9884\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u7279\u5f81\u7f29\u653e\u3001\u7279\u5f81\u9009\u62e9\u3001\u7279\u5f81\u62bd\u53d6\u3001\u6570\u636e\u6807\u51c6\u5316\u7b49\u3002\u8fd9\u4e9b\u9884\u5904\u7406\u6280\u672f\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u5bf9\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u548c\u8f6c\u6362\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u548c\u51c6\u786e\u5ea6\u3002<\/li>\n\n\n\n
      4. \u6a21\u578b\u8bc4\u4f30\uff1aScikit-learn\u63d0\u4f9b\u4e86\u5404\u79cd\u6a21\u578b\u8bc4\u4f30\u7684\u5de5\u5177\u548c\u6307\u6807\uff0c\u53ef\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u7684\u6027\u80fd\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ea4\u53c9\u9a8c\u8bc1\u3001\u5b66\u4e60\u66f2\u7ebf\u3001\u6df7\u6dc6\u77e9\u9635\u3001ROC\u66f2\u7ebf\u7b49\u6765\u8bc4\u4f30\u6a21\u578b\u7684\u51c6\u786e\u5ea6\u3001\u53ec\u56de\u7387\u3001\u7cbe\u786e\u5ea6\u7b49\u6307\u6807\u3002<\/li>\n\n\n\n
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