{"id":62,"date":"2021-12-01T12:00:00","date_gmt":"2021-12-01T04:00:00","guid":{"rendered":"http:\/\/github.xxxtxs.cn\/index.php\/2021\/12\/01\/2021-%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0-%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd\/"},"modified":"2021-12-01T12:00:00","modified_gmt":"2021-12-01T04:00:00","slug":"2021-%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0-%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd","status":"publish","type":"post","link":"http:\/\/github.xxxtxs.cn\/index.php\/2021\/12\/01\/2021-%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0-%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd\/","title":{"rendered":"2021 – \u673a\u5668\u5b66\u4e60\/\u4eba\u5de5\u667a\u80fd"},"content":{"rendered":"

\u673a\u5668\u5b66\u4e60\/\u4eba\u5de5\u667a\u80fd<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u540d\u79f0<\/th>\n\u7b80\u8ff0<\/th>\n\u6e90<\/th>\n<\/tr>\n<\/thead>\n
Animated Drawings<\/a><\/td>\n\u4e00\u6b3e\u5f88\u6709\u8da3\u7684 AI \u5de5\u5177\uff0c\u53ef\u4ee5\u501f\u52a9\u4eba\u5de5\u667a\u80fd\u6280\u672f\uff0c\u8ba9\u513f\u7ae5\u7ed8\u753b\u4f5c\u54c1\u52a8\u8d77\u6765\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
VNN<\/a><\/td>\nYY \u5f00\u6e90\u7684\u4e00\u6b3e\u9ad8\u6027\u80fd\u3001\u8f7b\u91cf\u7ea7\u795e\u7ecf\u7f51\u7edc\u90e8\u7f72\u6846\u67b6\uff0c\u53ef\u5c06\u771f\u5b9e\u4eba\u8138\u5feb\u901f\u8f6c\u6362\u4e3a\u8fea\u58eb\u5c3c\u30013D \u6e38\u620f\u3001\u6cb9\u753b\u753b\u50cf\u98ce\u683c\u7684\u4eba\u8138\u5916\u5f62\uff0c\u5e76\u63d0\u4f9b\u4e86\u9002\u914d\u591a\u573a\u666f\u7684\u76ee\u6807\u68c0\u6d4b\u3001\u7269\u54c1\u5206\u5272\u3001\u5bf9\u8c61\u8bc6\u522b\u7b49\u529f\u80fd\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
MotionPlanning<\/a><\/td>\n\u6765\u81ea\u534e\u4e3a\u7684\u81ea\u52a8\u9a7e\u9a76\u7b97\u6cd5\u5de5\u7a0b\u5e08\uff0c\u5728 GitHub \u5f00\u6e90\u4e86\u4e00\u4e2a\u8fd0\u52a8\u89c4\u5212\u7b97\u6cd5\uff0c\u91cc\u9762\u5b9e\u73b0\u4e86\u5404\u7c7b\u81ea\u52a8\u9a7e\u9a76\u6c7d\u8f66\u4e0a\u5e38\u7528\u7684\u8def\u5f84\u89c4\u5212 + \u8def\u5f84\u8ddf\u8e2a\u7b97\u6cd5\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
\u300cN\u00dcWA\uff08\u5973\u5a32\uff09\u300d<\/a><\/td>\n\u5fae\u8f6f\u4e0e\u5317\u4eac\u5927\u5b66\u8054\u624b\uff0c\u5728 GitHub \u5f00\u6e90\u4e86\u4e00\u4e2a\u591a\u6a21\u6001\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u53ef\u5b9e\u73b0\u6587\u672c\/\u8349\u56fe\u8f6c\u56fe\u50cf\u3001\u56fe\u50cf\u8865\u5168\u3001\u6587\u5b57\/\u8349\u56fe\u8f6c\u89c6\u9891\u7b49\u4efb\u52a1\uff0c\u529f\u80fd\u5f02\u5e38\u5f3a\u5927\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Qlib<\/a><\/td>\n\u4e00\u4e2a AI \u91cf\u5316\u4ea4\u6613\u5e73\u53f0\uff0c\u65e8\u5728\u5bfb\u6c42\u4e0e\u6316\u6398 AI \u6280\u672f\u5728\u91cf\u5316\u6295\u8d44\u9886\u57df\u4e2d\u7684\u4ef7\u503c\u3002\u91cc\u9762\u5305\u542b\u6570\u636e\u5904\u7406\u3001\u6a21\u578b\u8bad\u7ec3\u3001\u56de\u6eaf\u6d4b\u8bd5\u7684\u5b8c\u6574 ML \u7ba1\u9053\uff0c\u5e76\u4e14\u8986\u76d6\u4e86\u91cf\u5316\u6295\u8d44\u7684\u6574\u4e2a\u94fe\u6761\uff1aAlpha \u63a2\u7d22\u3001\u98ce\u9669\u5efa\u6a21\u3001\u6295\u8d44\u7ec4\u5408\u4f18\u5316\u548c\u4ea4\u6613\u6267\u884c\u7b49\u529f\u80fd\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
abstreet<\/a><\/td>\n\u9879\u76ee\u53ef\u901a\u8fc7\u8f6f\u4ef6\u6765\u6a21\u62df\u8857\u9053\u548c\u5341\u5b57\u8def\u53e3\u7684\u4ea4\u901a\u6d41\u91cf\uff0c\u4ee5\u89c4\u5212\u5404\u7c7b\u8f66\u8f86\u7684\u8fd0\u884c\u7f51\u7edc\uff0c\u8fdb\u4e00\u6b65\u6539\u5584\u4ea4\u901a\u72b6\u51b5\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Eiten<\/a><\/td>\n\u56fd\u5916\u4e00\u5bb6\u70ed\u8877\u4e8e\u7528 AI \u4e0e\u6570\u636e\u5206\u6790\u6765\u505a\u6295\u8d44\u5206\u6790\u7684\u4f01\u4e1a Tradytics\uff0c\u5728 GitHub \u5f00\u6e90\u7684\u5185\u90e8\u5de5\u5177\u5305\uff0c\u91cc\u9762\u4e3b\u8981\u5b9e\u73b0\u4e86\u5404\u79cd\u7edf\u8ba1\u4e0e\u7b97\u6cd5\u6295\u8d44\u7b56\u7565\uff0c\u5982\u6700\u5c0f\u65b9\u5dee\u3001\u6700\u5927\u590f\u666e\u6bd4\u7387\u548c\u57fa\u4e8e\u9057\u4f20\u7b97\u6cd5\u7684\u6295\u8d44\u7ec4\u5408\uff0c\u5bf9\u8fd9\u5757\u6280\u672f\u611f\u5174\u8da3\u7684\u540c\u5b66\u53ef\u4ee5\u770b\u4e0b\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
face2comics<\/a><\/td>\n\u5916\u56fd\u4e00\u4f4d\u540d\u4e3a Alex \u7684\u5f00\u53d1\u8005\u6574\u7406\u7684\u4eba\u8138\u8f6c\u6f2b\u753b\u6570\u636e\u96c6\uff0c\u6570\u636e\u96c6\u62e5\u6709\u4e24\u4e2a\u7248\u672c\uff0cv1 \u4e3b\u8981\u4e3a\u6df1\u8272\u8c03\uff08\u542b 1 \u4e07\u5f20\u56fe\u7247\uff09\uff0cv2 \u4e3a\u6df1\u7ea2\u8272\u8c03\uff08\u542b 2 \u4e07\u5f20\u56fe\u7247\uff09\u3002\u6f2b\u753b\u98ce\u683c\u504f\u6b27\u7f8e\u98ce\uff0c\u53ef\u7528\u4e8e\u8bad\u7ec3 pix2pix \u6216\u76f8\u4f3c\u7f51\u7edc<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
KalidoKit<\/a><\/td>\n\u6765\u81ea\u7ebd\u7ea6\u7684\u5f00\u53d1\u8005 Richard Yee \u505a\u4e86\u4e00\u6b3e\u4eba\u4f53\u8fd0\u52a8\u6a21\u62df\u5668\uff0c\u901a\u8fc7\u6355\u6349\u4eba\u4f53\u9762\u90e8\u8868\u60c5\u3001\u773c\u775b\u3001\u59ff\u52bf\u3001\u624b\u90e8\u52a8\u4f5c\u7b49\u5143\u7d20\u540e\uff0c\u4fbf\u53ef\u81ea\u52a8\u6620\u5c04\u5230\u865a\u62df\u4eba\u7269\u8eab\u4e0a\uff0c\u6253\u901a\u771f\u5b9e\u4e16\u754c\u4e0e\u865a\u62df\u4e16\u754c\u7684\u8fde\u63a5\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Simula<\/a><\/td>\n\u4e3a\u4e86\u63a8\u8fdb VR \u4e0e AR \u6280\u672f\u5728 Linux \u7cfb\u7edf\u4e0a\u7684\u5e94\u7528\uff0c\u56fd\u5916\u4e00\u5bb6\u540d\u4e3a SimulaVR \u7684\u673a\u6784\u6253\u9020\u4e86\u4e00\u6b3e Linux VR \u684c\u9762\u7a97\u53e3\u7ba1\u7406\u5668<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
AnimeGANv2-PyTorc<\/a><\/td>\n\u53ef\u501f\u52a9 AI \u6280\u672f\uff0c\u5feb\u901f\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u6f2b\u753b\u98ce\u683c\u753b\u4f5c\uff0c\u63d0\u4f9b Demo \u8bd5\u7528\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
WantWords<\/a><\/td>\n\u6e05\u534e\u5927\u5b66 NLP \u5b9e\u9a8c\u5ba4\u5728 GitHub \u5f00\u6e90\u7684 WantWords\uff08\u4e07\u8bcd\u738b\uff09\u8bcd\u5178\u8fd8\u86ee\u6709\u610f\u601d\u7684\u3002\u901a\u8fc7\u6307\u5b9a\u8bcd\u4e49\uff0c\u4fbf\u53ef\u5339\u914d\u4e0e\u4e4b\u63cf\u8ff0\u76f8\u8fd1\u7684\u8bcd\u6c47\u3002\u6bd4\u5982\uff0c\u5f53\u4f60\u8f93\u5165\u300c\u5f00\u5fc3\u7684\u8bcd\u300d\uff0c\u8be5\u5de5\u5177\u4fbf\u4f1a\u7ed9\u51fa “\u5feb\u4e50”\u3001”\u6109\u5feb”\u3001”\u9ad8\u5174” \u7b49\u8bcd\u6c47\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Mini Pupper<\/a><\/td>\n\u4e00\u4e2a\u5f00\u6e90\u7684\u673a\u5668\u72d7\uff0c\u5e26\u6709\u6fc0\u5149\u96f7\u8fbe\u3001\u76f8\u673a\u4f20\u611f\u5668\uff0c\u6574\u4f53\u6210\u672c\u4e0d\u5230 500 \u7f8e\u5143\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Lite.AI.ToolKit<\/a><\/td>\n\u4e00\u6b3e\u5f00\u7bb1\u5373\u7528\u7684 C++ AI \u6a21\u578b\u5de5\u5177\u7bb1\uff0c\u6db5\u76d6\u76ee\u6807\u68c0\u6d4b\u3001\u4eba\u8138\u68c0\u6d4b\u3001\u4eba\u8138\u8bc6\u522b\u3001\u8bed\u4e49\u5206\u5272\u3001\u62a0\u56fe\u7b49\u9886\u57df\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
HandPose X<\/a><\/td>\n\u56fd\u5185\u4e00\u4f4d\u5f00\u53d1\u8005\u5728 GitHub \u4e0a\u5f00\u6e90\u7684\u624b\u52bf\u8bc6\u522b\u9879\u76ee\uff0c\u652f\u6301\u624b\u90e8 21 \u4e2a\u5173\u952e\u70b9\u68c0\u6d4b\u3001\u4e8c\u7ef4\u624b\u52bf\u59ff\u6001\u3001\u624b\u52bf\u8bc6\u522b\u7b49\u529f\u80fd\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
invoice<\/a><\/td>\n\u4e00\u4e2a\u5f00\u6e90\u7684\u589e\u503c\u7a0e\u53d1\u7968 OCR \u8bc6\u522b\u9879\u76ee\uff0c\u53ef\u901a\u8fc7 API \u63a5\u53e3\uff0c\u5feb\u901f\u8bc6\u522b\u53d1\u7968\u4ee3\u7801\u3001\u53d1\u7968\u53f7\u7801\u3001\u5f00\u7968\u65e5\u671f\u3001\u6821\u9a8c\u7801\u3001\u7a0e\u540e\u91d1\u989d\u7b49\u5185\u5bb9\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
PSGAN<\/a><\/td>\n\u5317\u822a\u4e0e\u56fd\u79d1\u5927\u5728 2019 \u5e74\u4e0e GitHub \u5f00\u6e90\u7684\u4e00\u9879\u6280\u672f\uff0c\u53ef\u901a\u8fc7\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff0c\u5feb\u901f\u5b9e\u73b0\u5986\u5bb9\u8f6c\u79fb\u3001\u4e00\u952e\u4e0a\u5986\u7b49\u529f\u80fd\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
AI-Writer<\/a><\/td>\n\u53ef\u7528 GPT \u6765\u751f\u6210\u4e2d\u6587\u7f51\u6587\u5c0f\u8bf4\uff0c\u6a21\u578b\u8bad\u7ec3\u6570\u636e\u6765\u81ea\u7f51\u6587\u3002\u9879\u76ee\u5185\u7f6e\u57fa\u4e8e Python \u8fd0\u884c\u7684\u7f51\u9875\u754c\u9762\uff0c\u5e76\u901a\u8fc7\u7279\u6b8a\u91c7\u6837\u65b9\u6cd5\uff0c\u6539\u5584\u4e86\u5c0f\u6a21\u578b\u7684\u751f\u6210\u8d28\u91cf\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
ChainKnowledgeGraph<\/a><\/td>\n\u56fd\u5185\u4e00\u4f4d\u5f00\u53d1\u8005\u5728 GitHub \u5f00\u6e90\u7684\u4ea7\u4e1a\u94fe\u56fe\u8c31\uff0c\u4e3b\u8981\u5305\u62ec A \u80a1\u4e0a\u5e02\u516c\u53f8\u3001\u884c\u4e1a\u4e0e\u4ea7\u54c1\u5171 3 \u7c7b\u5b9e\u4f53\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Lichee<\/a><\/td>\n\u817e\u8baf\u6280\u672f\u56e2\u961f\u5728 GitHub \u5f00\u6e90\u7684\u4e00\u6b3e\u300c\u591a\u6a21\u6001\u5185\u5bb9\u7406\u89e3\u300d\u7b97\u6cd5\u6846\u67b6\uff0c\u6846\u67b6\u91c7\u7528\u5206\u5c42\u7684\u601d\u60f3\u7ec4\u7ec7\u6a21\u578b\u8bad\u7ec3\u6d41\u7a0b\uff0c\u5305\u542b\u4e86\u6570\u636e\u5904\u7406\u3001\u9884\u8bad\u7ec3\u6a21\u578b\u3001\u5e38\u89c1\u6a21\u578b\u4ee5\u53ca\u6a21\u578b\u52a0\u901f\u7b49\u6a21\u5757\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
MuJoCo<\/a><\/td>\nDeepmind \u524d\u4e0d\u4e45\u6536\u8d2d\u4e86\u77e5\u540d\u7269\u7406\u5f15\u64ce MuJoCo\uff0c\u672a\u6765\u5c06\u7528\u4e8e\u673a\u5668\u4eba\u3001\u751f\u7269\u5b66\u3001\u56fe\u5f62\u52a8\u753b\u3001\u673a\u5668\u5b66\u4e60\u7b49\u9886\u57df\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u63d0\u5347\u4ea7\u54c1\u5f00\u53d1\u4f53\u9a8c\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
LaMa<\/a><\/td>\n\u7531\u83ab\u65af\u79d1\u4e09\u661f\u4eba\u5de5\u667a\u80fd\u4e2d\u5fc3\u5f00\u6e90\uff0c\u53ef\u5feb\u901f\u8fdb\u884c\u56fe\u50cf\u4fee\u590d\u3001\u6307\u5b9a\u5bf9\u8c61\u79fb\u9664\u7b49\u64cd\u4f5c\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
PathPlanning<\/a><\/td>\n\u4e00\u4e2a\u52a8\u753b\u7b97\u6cd5\u5e93\uff0c\u4e3b\u8981\u5b9e\u73b0\u591a\u79cd\u5728\u673a\u5668\u4eba\u9886\u57df\u4e2d\uff0c\u5e38\u7528\u5230\u7684\u8def\u5f84\u89c4\u5212\u7b97\u6cd5\uff0c\u5176\u4e2d\u4e5f\u5305\u62ec\u57fa\u4e8e\u641c\u7d22\u4e0e\u91c7\u6837\u7684\u65b9\u6cd5\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Fast-Drone-250<\/a><\/td>\n\u6d59\u6c5f\u5927\u5b66 FASTLAB \u5b9e\u9a8c\u5ba4\uff0c\u5728 GitHub \u4e0a\u5f00\u6e90\u4e86\u4e00\u5957\u81ea\u4e3b\u5bfc\u822a\u65e0\u4eba\u673a\u7684\u786c\u4ef6\u7ec4\u6210\u4e0e\u642d\u5efa\u65b9\u6848\u3002\u8be5\u9879\u76ee\u53ef\u5e94\u7528\u4e8e\u65e0\u4eba\u673a\u5728\u672a\u77e5\u73af\u5883\u4e2d\u7684\u81ea\u4e3b\u98de\u884c\uff0c\u96c6\u7fa4\u98de\u884c\u7b49\u573a\u666f\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Muzic<\/a><\/td>\n\u5fae\u8f6f\u6700\u8fd1\u5728 GitHub \u4e0a\u5f00\u6e90\u4e86\u4e00\u4e2a AI \u97f3\u4e50\u9879\u76ee\uff0c\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\uff0c\u53ef\u81ea\u52a8\u5b8c\u6210\u97f3\u4e50\u521b\u4f5c\u3002\u521b\u4f5c\u8fc7\u7a0b\u4e3b\u8981\u5206\u4e3a\u4e24\u6b65\uff0c\u4e00\u662f\u97f3\u4e50\u7406\u89e3\uff08\u7b26\u53f7\u5206\u7c7b\u3001\u58f0\u97f3\u8bc6\u522b\uff09\uff0c\u4e8c\u662f\u97f3\u4e50\u5408\u6210\uff08\u6b4c\u66f2\u6b4c\u8bcd\u521b\u4f5c\u3001\u97f3\u4e50\u65cb\u5f8b\u751f\u6210\uff09\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
LAION-400-MILLION OPEN DATASET<\/a><\/td>\n\u56fd\u5916\u4e00\u5bb6\u540d\u4e3a Laion \u7684\u4eba\u5de5\u667a\u80fd\u975e\u76c8\u5229\u7ec4\u7ec7\uff0c\u5f00\u653e\u4e86\u5168\u7403\u6700\u5927\u7684\u56fe\u50cf\u6587\u672c\u5bf9\uff08image-text-pair\uff09\u6570\u636e\u96c6\uff0c\u5171\u63d0\u4f9b\u4e86 4 \u4ebf\u6837\u672c\u6570\u636e\u3002<\/td>\n[\"\"]()<\/td>\n<\/tr>\n
RobustVideoMatting<\/a><\/td>\n\u6765\u81ea\u5b57\u8282\u8df3\u52a8\u7684\u5de5\u7a0b\u5e08\u5728 GitHub \u4e0a\u5f00\u6e90\u4e86\u4e00\u9879\u89c6\u9891\u81ea\u52a8\u62a0\u56fe\u6280\u672f\uff0c\u8be5\u6280\u672f\u5f15\u5165\u4e86\u4e00\u79cd\u5f3a\u5927\u3001\u5b9e\u65f6\u3001\u9ad8\u5206\u8fa8\u7387\u7684\u4eba\u7269\u89c6\u9891\u62a0\u56fe\u65b9\u6cd5\uff0c\u4f7f\u7528\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff0c\u5728\u5904\u7406\u89c6\u9891\u6d41\u65f6\u6709\u65f6\u95f4\u8bb0\u5fc6\uff0c\u53ef\u5728\u4efb\u610f\u89c6\u9891\u4e0a\u505a\u5b9e\u65f6\u9ad8\u6e05\u62a0\u50cf\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Kornia<\/a><\/td>\n\u4e00\u6b3e\u57fa\u4e8e PyTorch \u7684\u53ef\u5fae\u5206\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\u3002\u53ef\u8bad\u7ec3\u6a21\u578b\u6765\u6267\u884c\u56fe\u50cf\u53d8\u6362\u3001\u5bf9\u6781\u51e0\u4f55\u3001\u6df1\u5ea6\u4f30\u8ba1\u548c\u4f4e\u7ea7\u56fe\u50cf\u5904\u7406\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Tangram\uff08\u4e03\u5de7\u677f\uff09<\/a><\/td>\n\u4e00\u4e2a\u53ef\u5e2e\u52a9 AI \u5f00\u53d1\u8005\u5feb\u901f\u8bad\u7ec3\u3001\u90e8\u7f72\u4e0e\u76d1\u63a7\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u5f00\u6e90\u5de5\u5177\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
DataCLUE<\/a><\/td>\n\u56fd\u5185\u9996\u4e2a\u4ee5\u6570\u636e\u4e3a\u4e2d\u5fc3\u7684 AI \u6d4b\u8bc4\uff08\u542b\u6a21\u578b\u5206\u6790\u62a5\u544a\uff09\uff0c\u53ef\u901a\u8fc7\u7cfb\u7edf\u5316\u6539\u9020\u6570\u636e\u6765\u63d0\u5347\u6a21\u578b\u6548\u679c\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Real-time Stock-market<\/a><\/td>\n\u4f5c\u8005\u5c1d\u8bd5\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u6765\u8fdb\u884c\u80a1\u7968\u5e02\u573a\u9884\u6d4b\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
PersonGraphDataSet<\/a><\/td>\n\u4e00\u4efd\u5f00\u6e90\u7684\u4eba\u7269\u56fe\u8c31\u6570\u636e\u96c6\uff0c\u6536\u5f55\u4e86\u8fd1\u5341\u4e07\u7684\u4eba\u7269\u5173\u7cfb\u56fe\u8c31\u4e8b\u5b9e\u6570\u636e\u5e93\uff0c\u901a\u8fc7\u4eba\u7269\u5173\u7cfb\u62bd\u53d6\u7b97\u6cd5\u62bd\u53d6 + \u4eba\u5de5\u6574\u7406\u5f97\u51fa\uff0c\u53ef\u7528\u4e8e\u4eba\u7269\u5173\u7cfb\u641c\u7d22\u3001\u67e5\u8be2\u3001\u4eba\u7269\u5173\u7cfb\u591a\u8df3\u95ee\u7b54\uff0c\u4ee5\u53ca\u4eba\u7269\u5173\u7cfb\u63a8\u7406\u7b49\u573a\u666f\u63d0\u4f9b\u57fa\u7840\u6570\u636e\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
chineseocr_lite<\/a><\/td>\n\u4e00\u6b3e\u8d85\u8f7b\u91cf\u7ea7\u4e2d\u6587 OCR\uff0c\u652f\u6301\u7ad6\u6392\u6587\u5b57\u8bc6\u522b\uff0c\u603b\u6a21\u578b\u4ec5 4.7M\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
SZT-bigdata<\/a><\/td>\n\u4e00\u4e2a\u5f00\u6e90\u7684\u6df1\u5733\u5730\u94c1\u5927\u6570\u636e\u5ba2\u6d41\u5206\u6790\u7cfb\u7edf\uff0c\u4e3b\u8981\u901a\u8fc7\u5206\u6790\u6df1\u5733\u901a\u5237\u5361\u6570\u636e\uff0c\u4ece\u5927\u6570\u636e\u7684\u6280\u672f\u89d2\u5ea6\u6765\u7814\u7a76\u6df1\u5733\u5730\u94c1\u5ba2\u8fd0\u80fd\u529b\uff0c\u63a2\u7d22\u6df1\u5733\u5730\u94c1\u4f18\u5316\u670d\u52a1\u7684\u65b9\u5411\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
NARUTO-HandSignDetection<\/a><\/td>\n\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u53ef\u7528\u4e8e\u8bc6\u522b\u706b\u5f71\u5fcd\u8005\u4e2d\u7684\u7ed3\u5370\u624b\u52bf\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
BIFROST<\/a><\/td>\n\u7ed9\u4ece\u4e8b AI \u5f00\u53d1\u7684\u540c\u5b66\u5206\u4eab\u4e2a\u6570\u636e\u96c6\u641c\u7d22\u795e\u5668\uff0c\u8be5\u7f51\u7ad9\u5f53\u524d\u5171\u8ba1\u62e5\u6709 1900 \u4e2a\u6570\u636e\u96c6\uff0c\u63d0\u4f9b\u4eba\u7269\u3001\u81ea\u52a8\u9a7e\u9a76\u6c7d\u8f66\u3001\u96f6\u552e\u3001\u65e0\u4eba\u673a\u7b49\u516d\u5927\u7c7b\u522b\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
MLOps-Basics<\/a><\/td>\n\u4e00\u4e2a\u5f00\u6e90\u7684 MLOps \u57fa\u7840\u6559\u7a0b\uff0c\u4f5c\u8005\u5c06\u901a\u8fc7 10 \u5468\u7684\u65f6\u95f4\uff0c\u5e26\u4f60\u4e86\u89e3 MLOps \u7684\u57fa\u7840\u77e5\u8bc6\uff0c\u5982\u6a21\u578b\u6784\u5efa\u3001\u76d1\u63a7\u3001\u914d\u7f6e\u3001\u6d4b\u8bd5\u3001\u6253\u5305\u3001\u90e8\u7f72\u3001CI\/CD\uff08GitHub Actions\uff09\u7b49\u5185\u5bb9\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
CompreFace<\/a><\/td>\n\u4e00\u6b3e\u5f00\u6e90\u7684\u4eba\u8138\u8bc6\u522b\u4e0e\u68c0\u6d4b\u7cfb\u7edf\uff0c\u4e0d\u61c2\u673a\u5668\u5b66\u4e60\u6280\u672f\u4ea6\u53ef\u4f7f\u7528\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
pix2tex<\/a><\/td>\n\u4e00\u6b3e\u5f00\u6e90\u7684 LaTeX \u4ee3\u7801\u8bc6\u522b\u7cfb\u7edf\uff0c\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\uff0c\u5feb\u901f\u8bc6\u522b\u6570\u5b66\u516c\u5f0f\u7684\u56fe\u50cf\uff0c\u5e76\u8fd4\u56de\u76f8\u5e94\u7684 LaTeX \u4ee3\u7801\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Realtime-Voice-Clone-Chinese<\/a><\/td>\n\u4e00\u4e2a\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u4e2d\u6587\u8bed\u97f3\u5408\u6210\u9879\u76ee\uff0c\u901a\u8fc7\u91c7\u96c6\u5206\u6790\u4e00\u6bb5\u5177\u4f53\u7684\u58f0\u97f3\u6837\u672c\uff0c\u53ef\u5728 5 \u79d2\u5185\u751f\u6210\u4e0e\u4e4b\u7c7b\u4f3c\u7684\u514b\u9686\u8bed\u97f3\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
AI_Tutorial<\/a><\/td>\n\u4e00\u4e2a\u5f00\u6e90\u7684 AI \u5b66\u4e60\u8d44\u6599\u5e93\uff0c\u4e3b\u8981\u6574\u7406\u4e86\u4eba\u5de5\u667a\u80fd\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60\u3001\u641c\u7d22\u7cfb\u7edf\u3001\u63a8\u8350\u7cfb\u7edf\u3001\u5e7f\u544a\u7cfb\u7edf\u7b49\u9886\u57df\u7684\u5b66\u4e60\u8d44\u6599\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Polaris<\/a><\/td>\n\u4e00\u6b3e\u5f00\u6e90\u7684\u4eba\u8138\u8003\u52e4\u7cfb\u7edf\uff0c\u96c6\u6210\u4e86\u8138\u90e8\u8bc6\u522b\u6280\u672f\uff0c\u62e5\u6709\u9887\u5177\u672a\u6765\u611f\u7684\u8bbe\u8ba1\u98ce\u683c\uff0c\u53ef\u7528\u4e8e\u5c1d\u9c9c\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
neural_network_papers<\/a><\/td>\n\u4e00\u4efd\u5f00\u6e90\u7684 AI \u8bba\u6587\u7b14\u8bb0\uff0c\u4e3b\u8981\u8bb0\u5f55\u4f5c\u8005\u8bfb\u8fc7\u7684\u4e00\u4e9b\u8bba\u6587\uff0c\u7ed9\u51fa\u4e2a\u4eba\u5bf9\u8bba\u6587\u7684\u8bc4\u5206\u60c5\u51b5\u5e76\u7b80\u8ff0\u8bba\u6587 insight\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
NLPDataSet<\/a><\/td>\n\u56fd\u5185\u4e00\u540d\u5f00\u53d1\u8005\u5728 GitHub \u5f00\u6e90\u4e86\u5e38\u7528\u6570\u636e\u96c6\uff0c\u4e3b\u8981\u5c06\u591a\u4e2a\u7f51\u7edc\u6570\u636e\u96c6\u8fdb\u884c\u6574\u7406\u6e05\u6d17\uff0c\u5e76\u5c06\u683c\u5f0f\u7edf\u4e00\u5316\u3002\u5176\u4e3b\u8981\u76ee\u7684\uff0c\u5728\u4e8e\u6784\u5efa\u4e00\u4e2a\u8f83\u5b8c\u5584\u7684\u4e2d\u6587\u7247\u6bb5\u62bd\u53d6\u5f0f\u9605\u8bfb\u7406\u89e3\u6570\u636e\u96c6\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Lite.AI<\/a><\/td>\n\u4e00\u4e2a\u6bd4\u8f83\u4e30\u5bcc\u7684 C++ \u5e93\uff0c\u91cc\u9762\u6536\u5f55\u4e86 60 \u591a\u4e2a\u5b9e\u7528\u7684 AI \u6a21\u578b\uff0c\u5176\u4e2d\u5305\u542b\u5bf9\u8c61\u68c0\u6d4b\u3001\u4eba\u8138\u68c0\u6d4b\u3001\u98ce\u683c\u8fc1\u79fb\u3001\u4eba\u8138\u8bc6\u522b\u3001\u56fe\u50cf\u5206\u5272\u3001\u56fe\u50cf\u5206\u7c7b\u7b49\u7c7b\u522b\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
AiLearning-Theory-Applying<\/a><\/td>\n\u4e00\u4e2a AI \u77e5\u8bc6\u5e93\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u5feb\u901f\u4e0a\u624b AI \u7406\u8bba\u53ca\u5e94\u7528\u5b9e\u6218\uff1a\u57fa\u7840\u77e5\u8bc6\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406 BERT\uff0c\u542b\u5927\u91cf\u6ce8\u91ca\u53ca\u6570\u636e\u96c6\uff0c\u529b\u6c42\u6bcf\u4e00\u4f4d\u80fd\u770b\u61c2\u5e76\u590d\u73b0\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
NLPer-Arsenal<\/a><\/td>\n\u4e00\u4e2a NLP \u5f00\u6e90\u77e5\u8bc6\u5e93\uff0c\u4e3b\u8981\u6536\u5f55 NLP \u7ade\u8d5b\u7ecf\u9a8c\u8d34\u3001\u901a\u7528\u5de5\u5177\u3001\u5b66\u4e60\u8d44\u6599\u7b49\u5185\u5bb9\uff0c\u8986\u76d6\u6587\u672c\u5206\u7c7b\u3001\u673a\u5668\u7ffb\u8bd1\u3001\u8bed\u4e49\u89e3\u6790\u3001\u5b9e\u4f53\u8bc6\u522b\u7b49\u7c7b\u522b\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
DouZero<\/a><\/td>\n\u4e00\u4e2a AI \u6597\u5730\u4e3b\u9879\u76ee\uff0c\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u4e0e\u6df1\u5ea6\u8499\u7279\u5361\u7f57\uff08DMC\uff09\u7b97\u6cd5\u6784\u5efa\uff0c\u5c1d\u8bd5\u8ba9 AI \u4e0e\u4eba\u7c7b\u535a\u5f08\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>","protected":false},"excerpt":{"rendered":"

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