{"id":72,"date":"2022-12-11T12:00:00","date_gmt":"2022-12-11T04:00:00","guid":{"rendered":"http:\/\/github.xxxtxs.cn\/index.php\/2022\/12\/11\/2022-%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":"2022-12-11T12:00:00","modified_gmt":"2022-12-11T04:00:00","slug":"2022-%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\/2022\/12\/11\/2022-%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":"2022 – \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
\u540d\u79f0<\/th>\n\u7b80\u8ff0<\/th>\n\u6e90<\/th>\n<\/tr>\n<\/thead>\n
Paper Picture Writing Code<\/a><\/td>\nGitHub \u4e0a\u5f00\u6e90\u7684 LaTeX \u753b\u56fe\u4ee3\u7801\u5e93\u3002\u91cc\u9762\u5305\u542b\u4e86\u51e0\u79cd AI \u8bba\u6587\u4e2d\u5e38\u7528\u7684\u753b\u56fe\u4ee3\u7801\uff0c\u5982\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6563\u70b9\u56fe\u3001\u6ce8\u610f\u529b\u53ef\u89c6\u5316\u4ee5\u53ca\u7ed3\u6784\u56fe\u7b49\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
PaddleHub<\/a><\/td>\n\u767e\u5ea6\u5728 GitHub \u4e0a\u5f00\u6e90\u7684\u4e00\u6b3e\u9884\u8bad\u7ec3\u6a21\u578b\u5de5\u5177\u5305\uff1aPaddleHub\uff0c\u6db5\u76d6\u4e86\u5927\u6a21\u578b\u3001CV\u3001NLP\u3001Audio\u3001Video\u3001\u5de5\u4e1a\u5e94\u7528\u7b49 400+ \u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u4ee3\u7801\u5168\u90e8\u5f00\u6e90\uff0c\u79bb\u7ebf\u53ef\u8fd0\u884c\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
AiLearning-Theory-Applying<\/a><\/td>\nGitHub \u4e0a\u4e00\u4e2a\u5f00\u6e90\u7684 AI \u77e5\u8bc6\u5e93\uff0c\u4e3b\u8981\u5e2e\u52a9\u5f00\u53d1\u8005\u5feb\u901f\u4e0a\u624b AI \u7406\u8bba\u53ca\u5e94\u7528\u5b9e\u6218\uff0c\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
Dot<\/a><\/td>\n\u662f GitHub \u4e0a\u4e00\u4e2a\u5f00\u6e90\u7684 Deepfake AI \u6362\u8138\u653b\u51fb\u5de5\u5177\u5305\u3002\u9488\u5bf9\u8eab\u4efd\u9a8c\u8bc1\u3001\u89c6\u9891\u4f1a\u8bae\u7cfb\u7edf\u7b49\u6e17\u900f\u6d4b\u8bd5\u5de5\u4f5c\u800c\u751f\uff0c\u53ef\u4f9b\u5b89\u5168\u5206\u6790\u5e08\u3001\u7ea2\u961f\u6210\u5458\u548c\u751f\u7269\u8bc6\u522b\u7814\u7a76\u4eba\u5458\u4f7f\u7528\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
ClearML<\/a><\/td>\nGitHub \u4e0a\u4e00\u4e2a\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u5de5\u5177\u5305\uff1aClearML\uff0c\u81ea\u5e26\u7b80\u6d01\u7f8e\u89c2\u7684\u53ef\u89c6\u5316\u754c\u9762\u3002\u8be5\u5de5\u5177\u53ef\u7528\u4e8e\u7b80\u5316\u673a\u5668\u5b66\u4e60\u5f00\u53d1\u3001\u8fd0\u7ef4\u6d41\u7a0b\uff0c\u81ea\u52a8\u5b8c\u6210\u5b9e\u9a8c\u8ddf\u8e2a\u4e0e\u7ed3\u679c\u8bb0\u5f55\uff0c\u5e76\u63d0\u4f9b\u4e86\u7075\u6d3b\u591a\u53d8\u7684\u6570\u636e\u7ba1\u7406\u65b9\u6848\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Image-Processing-Node-Editor<\/a><\/td>\n\u65e5\u672c\u5f00\u53d1\u8005\u5728 GitHub \u5f00\u6e90\u7684\u4e00\u6b3e\u56fe\u50cf\u5904\u7406\u8282\u70b9\u7f16\u8f91\u5668\uff0c\u901a\u8fc7\u8be5\u5de5\u5177\uff0c\u53ef\u4ee5\u8f85\u52a9\u5e76\u5b8c\u6210\u6df1\u5ea6\u5b66\u4e60\u7684\u5404\u9879\u56fe\u50cf\u5904\u7406\u5de5\u4f5c\uff0c\u5feb\u901f\u9a8c\u8bc1\u3001\u5bf9\u6bd4\u5404\u4e2a\u56fe\u50cf\u5728\u4e0d\u540c\u6761\u4ef6\u4e0b\u7684\u6267\u884c\u7ed3\u679c\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
BEVFormer<\/a><\/td>\nGitHub \u4e0a\u4e00\u5957\u5f00\u6e90\u7684\u73af\u89c6\u7269\u4f53\u68c0\u6d4b\u65b9\u6848\uff1aBEVFormer\uff0c\u5b9e\u73b0\u4e86\u5728\u9e1f\u77b0\u56fe\u89c6\u89d2\u4e0b\u7684\u7279\u5f81\u4f18\u5316\uff0c\u53ef\u5e94\u7528\u4e8e\u6c7d\u8f66\u81ea\u52a8\u9a7e\u9a76\u573a\u666f\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Paper2GUI<\/a><\/td>\n\u4e00\u6b3e\u9762\u5411\u666e\u901a\u4eba\u7684 AI \u684c\u9762 APP \u5de5\u5177\u7bb1\uff0c\u5f00\u7bb1\u5373\u7528\uff0c\u975e\u5e38\u65b9\u4fbf\uff0c\u5df2\u652f\u6301 15+ AI \u6a21\u578b\uff0c\u5185\u5bb9\u6db5\u76d6\u8bed\u97f3\u5408\u6210\u3001\u89c6\u9891\u8865\u5e27\u3001\u89c6\u9891\u8d85\u5206\u3001\u76ee\u6807\u68c0\u6d4b\u3001\u56fe\u7247\u98ce\u683c\u5316\u3001\u56fe\u7247 OCR \u8bc6\u522b\u7b49\u9886\u57df\uff0c\u517c\u5bb9 Windows\u3001Mac\u3001Linux \u7b49\u4e3b\u6d41\u64cd\u4f5c\u7cfb\u7edf\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
FinRL<\/a><\/td>\nGitHub \u4e0a\u4e00\u4e2a\u5f00\u6e90\u7684\u91cf\u5316\u91d1\u878d\u81ea\u52a8\u4ea4\u6613\u6846\u67b6\uff1aFinRL\uff0c\u9644\u5e26\u6709\u5b8c\u6574\u7684\u6df1\u5ea6\u5b66\u4e60\u3001\u91cf\u5316\u4ea4\u6613\u6280\u672f\u6559\u7a0b\u3002\u9879\u76ee\u8986\u76d6\u4e86\u5404\u7c7b\u5e38\u7528\u5e02\u573a\uff0c\u5e76\u63d0\u4f9b\u5148\u8fdb\u7684\u7b97\u6cd5\u6838\u5fc3\uff0c\u652f\u6301\u5404\u79cd\u91d1\u878d\u4efb\u52a1\uff08\u6295\u8d44\u7ec4\u5408\u5206\u914d\u3001\u52a0\u5bc6\u8d27\u5e01\u4ea4\u6613\u3001\u9ad8\u9891\u4ea4\u6613\uff09\u3001\u5b9e\u65f6\u4ea4\u6613\u7b49\u529f\u80fd\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
internet-dataset<\/a><\/td>\n\u8fd9\u4e2a GitHub \u4ed3\u5e93\u6536\u5f55\u4e86\u5404\u79cd\u901a\u8fc7\u641c\u7d22\u5f15\u64ce\u83b7\u53d6\u7684\u6570\u636e\u96c6\uff0c\u6574\u4f53\u6570\u636e\u91cf\u5c06\u8fd1 50G\uff0c\u5176\u4e2d\u5305\u62ec\u57df\u540d\u3001\u7f51\u9875\u3001\u53cd\u5411\u7d22\u5f15\u7b49\u6570\u636e\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Energon-AI<\/a><\/td>\nGitHub \u4e0a\u4e00\u4e2a\u5f00\u6e90\u7684\u5927\u6a21\u578b\u63a8\u7406\u7cfb\u7edf\uff1aEnergon-AI\u3002\u4ec5\u9700\u5bf9\u73b0\u6709\u9879\u76ee\u8fdb\u884c\u6781\u5c11\u91cf\u4fee\u6539\uff0c\u5373\u53ef\u5b8c\u6210\u81ea\u5b9a\u4e49\u5927\u6a21\u578b\u7684\u63a8\u7406\u90e8\u7f72\uff0c\u83b7\u5f97\u5e76\u884c\u6269\u5c55\u7684\u8d85\u7ebf\u6027\u52a0\u901f\u3002\u5bf9\u4e8e AI \u5927\u6a21\u578b\u5206\u5e03\u5f0f\u63a8\u7406\u52a0\u901f\uff0c\u76f8\u6bd4\u82f1\u4f1f\u8fbe FasterTransformer \u53ef\u63d0\u5347 50% \u4ee5\u4e0a\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Colossal-AI<\/a><\/td>\n\u56fd\u4eba\u5728 GitHub \u5f00\u6e90\u7684\u4e00\u4e2a\u9879\u76ee\uff1aColossal-AI\uff0c\u4ec5\u9700\u6781\u5c11\u91cf\u4fee\u6539\uff0c\u5373\u53ef\u8ba9\u73b0\u6709\u6df1\u5ea6\u5b66\u4e60\u9879\u76ee\uff0c\u5728\u5355\u5f20\u6d88\u8d39\u7ea7\u663e\u5361\u4e0a\uff0c\u5b8c\u6210\u5927\u6a21\u578b\u8bad\u7ec3\uff0c\u6781\u5927\u964d\u4f4e\u4e86\u9879\u76ee\u7814\u53d1\u6210\u672c\uff01\u7b80\u800c\u8a00\u4e4b\uff0c\u6709\u4e86\u8fd9\u4e2a\u5f00\u6e90\u9879\u76ee\u540e\uff0c\u6bcf\u4e2a\u4eba\u90fd\u53ef\u4ee5\u5728\u5bb6\u8bad\u7ec3 AI \u5927\u6a21\u578b\uff01\u5c24\u5176\u662f\u5927\u5e45\u5ea6\u964d\u4f4e\u4e86 AI \u5927\u6a21\u578b\u5fae\u8c03\u3001\u63a8\u7406\u7b49\u4e0b\u6e38\u4efb\u52a1\u548c\u5e94\u7528\u90e8\u7f72\u7684\u95e8\u69db\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Gradio<\/a><\/td>\nGitHub \u4e0a\u8fd9\u4e2a\u540d\u4e3a Gradio \u7684\u5f00\u6e90\u9879\u76ee\uff0c\u53ef\u5728\u77ed\u77ed\u51e0\u5206\u949f\u5185\uff0c\u4e3a\u673a\u5668\u5b66\u4e60\u6a21\u578b\u751f\u6210\u4e00\u4e2a\u7b80\u6d01\u3001\u4f18\u96c5\u7684 UI \u754c\u9762\uff0c\u8ba9\u4f60\u80fd\u5728\u6d4f\u89c8\u5668\u4e2d\u8fdb\u884c\u9879\u76ee\u6f14\u793a\u3002\u901a\u8fc7\u8be5\u754c\u9762\uff0c\u4f60\u53ef\u4ee5\u5b8c\u6210\u62d6\u62fd\u4e0a\u4f20\u56fe\u50cf\u3001\u7c98\u8d34\u6587\u672c\u3001\u58f0\u97f3\u5f55\u5236\u7b49\u64cd\u4f5c\uff0c\u5e76\u67e5\u770b\u6a21\u578b\u8f93\u51fa\u5185\u5bb9\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
nlp-paper<\/a><\/td>\n\u5b57\u8282\u8df3\u52a8\u5de5\u7a0b\u5e08\u5728 GitHub \u4e0a\u6574\u7406\u7684 NLP \u8bba\u6587\u5217\u8868\uff08\u9644\u9605\u8bfb\u7b14\u8bb0\uff09\uff0c\u6536\u5f55\u4e86\u4e00\u4e9b\u6bd4\u8f83\u7ecf\u5178\u6216\u601d\u8def\u65b0\u5947\u7684\u8bba\u6587\u3002\u5176\u4e2d\u5305\u542b NLP \u9886\u57df\u4e0b\u7684\u5bf9\u8bdd\u8bed\u97f3\u9886\u57df\uff0c\u590d\u73b0\u6a21\u578b\u4ee5\u53ca\u6570\u636e\u5904\u7406\u7b49\uff08\u4ee3\u7801\u542b TensorFlow \u548c PyTorch \u4e24\u7248\u672c\uff09<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Goopt<\/a><\/td>\n\u56fd\u5916\u6709\u4f4d\u5f00\u53d1\u8005\u57fa\u4e8e GPT-3 \u505a\u4e86\u4e00\u6b3e AI \u641c\u7d22\u5f15\u64ce\uff1aGoopt\uff0c\u901a\u8fc7\u8be5\u641c\u7d22\u5f15\u64ce\u68c0\u7d22\u5230\u7684\u6240\u6709\u5185\u5bb9\uff0c\u5168\u90e8\u90fd\u662f\u7531 AI \u548c\u7b97\u6cd5\u5408\u6210\u7684\u3002\u4f60\u53ef\u4ee5\u5728\u4e0a\u9762\u641c\u7d22\u4efb\u610f\u672f\u8bed\uff0c\u4ee5\u83b7\u53d6\u76f8\u5173\u7ed3\u679c\u4e0e\u5185\u5bb9\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u8fdb\u4e00\u6b65\u6a21\u62df\u7f51\u9875\u6d4f\u89c8\u4f53\u9a8c<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
AI-Paper-Collector<\/a><\/td>\nGitHub \u4e0a\u4e00\u4e2a\u5f00\u6e90\u7684 Python \u811a\u672c\uff1aAI-Paper-Collector\uff0c\u53ef\u7528\u4e8e\u67e5\u627e\u5305\u542b\u6307\u5b9a\u5173\u952e\u8bcd\u7684\u9876\u4f1a\u8bba\u6587\u5217\u8868\uff0c\u6db5\u76d6\u4e86 2019-2021 \u81ea\u7136\u8bed\u8a00\u5904\u7406\uff0c\u8ba1\u7b97\u673a\u89c6\u89c9\uff0c\u4fe1\u606f\u68c0\u7d22\u7b49\u9886\u57df\u7684\u9876\u4f1a\u8bba\u6587\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
ChineseLyrics<\/a><\/td>\nGitHub \u4e0a\u5f00\u6e90\u7684\u4e2d\u6587\u6b4c\u8bcd\u6570\u636e\u5e93\uff0c\u4f5c\u8005\u6536\u5f55\u4e86 10W+ \u9996\u6b4c\u8bcd\u6570\u636e\uff0c\u7ed9\u505a NLP \u548c\u6570\u636e\u5206\u6790\u9886\u57df\u7684\u670b\u53cb\u4eec\u63d0\u4f9b\u53c2\u8003\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
ROS-Face<\/a><\/td>\n\u4e00\u4e2a\u633a\u6709\u610f\u601d\u7684\u5f00\u6e90\u9879\u76ee\u3002\u4f5c\u8005\u5e0c\u671b\u901a\u8fc7 ROS\uff08\u673a\u5668\u4eba\u64cd\u4f5c\u7cfb\u7edf\uff09\u6765\u63a7\u5236\u4eba\u8138\u9762\u90e8\u8868\u60c5\uff0c\u8ba9\u9762\u90e8\u52a8\u4f5c\u542c\u4ece\u673a\u68b0\u6307\u4ee4<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
nlp-notebook<\/a><\/td>\nGitHub \u4e0a\u5f00\u6e90\u7684 NLP \u9886\u57df\u5e38\u89c1\u4efb\u52a1\u7684\u5b9e\u73b0\uff1anlp-notebook\uff0c\u5305\u62ec\u65b0\u8bcd\u53d1\u73b0\u3001\u4ee5\u53ca\u57fa\u4e8e PyTorch \u7684\u8bcd\u5411\u91cf\u3001\u4e2d\u6587\u6587\u672c\u5206\u7c7b\u3001\u5b9e\u4f53\u8bc6\u522b\u3001\u6458\u8981\u6587\u672c\u751f\u6210\u3001\u53e5\u5b50\u76f8\u4f3c\u5ea6\u5224\u65ad\u3001\u4e09\u5143\u7ec4\u62bd\u53d6\u3001\u9884\u8bad\u7ec3\u6a21\u578b\u7b49\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
funNLP<\/a><\/td>\n\u51e0\u4e4e\u6700\u5168\u7684\u4e2d\u6587 NLP \u8d44\u6e90\u5e93\u3002\u5305\u62ec\u4e2d\u82f1\u6587\u654f\u611f\u8bcd\u3001\u8bed\u8a00\u68c0\u6d4b\u3001\u4e2d\u5916\u624b\u673a \/ \u7535\u8bdd\u5f52\u5c5e\u5730 \/ \u8fd0\u8425\u5546\u67e5\u8be2\u3001\u540d\u5b57\u63a8\u65ad\u6027\u522b\u3001\u624b\u673a\u53f7\u62bd\u53d6\u3001\u8eab\u4efd\u8bc1\u62bd\u53d6\u7b49\u5185\u5bb9\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Colossal-AI<\/a><\/td>\nGitHub \u4e0a\u4e00\u4e2a\u589e\u957f\u8fc5\u731b\u7684\u56fd\u4ea7 AI \u5f00\u6e90\u9879\u76ee\uff1aColossal-AI\uff0c\u53ef\u7528\u4e8e AI \u5927\u89c4\u6a21\u5e76\u884c\u8bad\u7ec3\uff0c\u4ec5\u9700\u4e00\u534a\u6570\u91cf\u7684 GPU\uff0c\u4fbf\u80fd\u5b8c\u6210\u76f8\u540c\u6548\u679c\u7684 GPT-3 \u8bad\u7ec3\u5de5\u4f5c\uff0c\u6781\u5927\u964d\u4f4e\u4e86\u9879\u76ee\u7814\u53d1\u6210\u672c\uff01<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
NeuralSpeech<\/a><\/td>\n\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u5728 GitHub \u5f00\u6e90\u7684\u4e00\u4e2a\u9879\u76ee\uff1aNeuralSpeech \uff0c\u63d0\u4f9b\u4e86\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u8bed\u97f3\u5904\u7406\uff0c\u5305\u62ec\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\uff08ASR\uff09\u3001\u6587\u672c\u8f6c\u8bed\u97f3\uff08TTS\uff09\u7b49\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
virtual_try_on_use_deep_learning<\/a><\/td>\n\u4f7f\u7528\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u5b9e\u73b0\u865a\u62df\u8bd5\u8863\uff0c\u7ed3\u5408\u4e86\u4eba\u4f53\u59ff\u6001\u4f30\u8ba1\u3001\u4eba\u4f53\u5206\u5272\u3001\u51e0\u4f55\u5339\u914d\u548c GAN\uff0c\u56db\u79cd\u6a21\u578b\uff0c\u53ea\u4f9d\u8d56 opencv \u5e93\u5c31\u80fd\u8fd0\u884c\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
ml4a<\/a><\/td>\n\u5982\u679c\u4f60\u6b63\u5728\u5c1d\u8bd5\u7528 AI \u6765\u8fdb\u884c\u827a\u672f\u521b\u4f5c\uff0c\u90a3\u4e48\u53ef\u4ee5\u770b\u4e0b ml4a \u8fd9\u4e2a\u5f00\u6e90 Python \u5e93\u3002\u4f5c\u8005\u901a\u8fc7\u4ee3\u7801\u5c01\u88c5\u7684\u65b9\u5f0f\uff0c\u5c06 AI \u827a\u672f\u521b\u4f5c\u7c7b\u7684\u5f00\u6e90\u9879\u76ee\u6574\u5408\u5230\u4e86\u4e00\u8d77\uff0c\u5305\u62ec\u56fe\u50cf\u98ce\u683c\u8fc1\u79fb\u3001\u57fa\u4e8e\u7d20\u63cf\u7684\u56fe\u50cf\u751f\u6210\u3001\u56fe\u7247\u5206\u8fa8\u7387\u589e\u5f3a\u3001\u56fe\u50cf\u5361\u901a\u8bdd\u7b49\u6a21\u578b\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
\u300aAI as an API\u300b<\/a><\/td>\nGitHub \u4e0a\u7684\u4eba\u5de5\u667a\u80fd\u6280\u672f\u6559\u7a0b\uff1a\u300aAI as an API\u300b\uff0c\u4e3b\u8981\u8bb2\u89e3\u5982\u4f55\u57fa\u4e8e NLP \u6280\u672f\uff0c\u5f00\u53d1\u4e00\u4e2a\u6587\u672c\u5206\u7c7b\u5668\uff0c\u5e76\u8fdb\u884c\u6301\u7eed\u5316\u6570\u636e\u5b58\u50a8\uff0c\u5c01\u88c5\u6210 API\u3002\u6559\u7a0b\u5b66\u4e60\u65f6\u957f\uff0c\u7ea6\u4e3a 50 \u5206\u949f\u5de6\u53f3\uff0c\u9002\u5408\u5728\u5de5\u4f5c\u4e4b\u4f59\u7684\u95f2\u6687\u65f6\u95f4\u52a8\u624b\u5b66\u4e60\u3002 \u200b\u200b\u200b<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
FastFold<\/a><\/td>\nGitHub \u4e0a\u5f00\u6e90\u4e86\u4e00\u5957\u8bad\u7ec3\u63a8\u7406\u52a0\u901f\u65b9\u6848\uff0c\u901a\u8fc7\u5f15\u5165 GPU \u4f18\u5316\u548c\u5927\u6a21\u578b\u8bad\u7ec3\u6280\u672f\uff0c\u53ef\u5c06 AlphaFold \u603b\u4f53\u8bad\u7ec3\u65f6\u95f4 \u4ece 11 \u5929\u51cf\u5c11\u5230 67 \u5c0f\u65f6\uff0c\u4e14\u603b\u6210\u672c\u66f4\u4f4e\uff0c\u5728\u957f\u5e8f\u5217\u63a8\u7406\u4e2d\u4e5f\u5b9e\u73b0 9.3 \u223c 11.6 \u500d\u63d0\u5347\uff0c\u52a0\u901f\u6548\u679c\u9887\u4e3a\u663e\u8457\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Colossal-AI<\/a><\/td>\n\u56fd\u4eba\u5728 GitHub \u5f00\u6e90\u7684\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u7cfb\u7edf\uff1aColossal-AI\uff0c\u53ef\u7528\u4e8e AI \u5927\u89c4\u6a21\u5e76\u884c\u8bad\u7ec3\u3002\u4ec5\u9700\u4e00\u534a\u6570\u91cf\u7684 GPU\uff0c\u4fbf\u80fd\u5b8c\u6210\u76f8\u540c\u6548\u679c\u7684 GPT-3 \u8bad\u7ec3\u5de5\u4f5c\uff0c\u6781\u5927\u964d\u4f4e\u4e86\u9879\u76ee\u7814\u53d1\u6210\u672c\uff01<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
SofGAN<\/a><\/td>\n\u4f5c\u7528\u662f\u53ef\u901a\u8fc7\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u6a21\u5f0f\u8bc6\u522b\u6280\u672f\uff0c\u751f\u6210\u4e00\u5f20\u652f\u6301\u98ce\u683c\u52a8\u6001\u8c03\u6574\u7684\u4eba\u7269\u8096\u50cf\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
Hugging Face<\/a><\/td>\nHugging Face \u5bf9\u5916\u5f00\u653e\u7684\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u5217\u8868\uff0c\u53ef\u4ee5\u8bf4\u6574\u7406\u7684\u975e\u5e38\u5168\u9762\u4e86\u3002\u91cc\u9762\u8986\u76d6\u4e86\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u97f3\u9891\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u7b49\u591a\u4e2a\u5206\u7c7b\uff0c\u5176\u4e2d\u5305\u62ec\u63a9\u853d\u8bed\u8a00\u586b\u5145\u3001\u667a\u80fd\u95ee\u7b54\u3001\u6587\u672c\u5206\u7c7b\u3001\u6587\u672c\u7ffb\u8bd1\u3001\u8bed\u97f3\u8bc6\u522b\u3001\u56fe\u50cf\u5206\u5272\u548c\u7269\u4f53\u68c0\u6d4b\u7b49\u4efb\u52a1\u3002\u6bcf\u4e2a\u4efb\u52a1\u90fd\u9644\u6709\u76f8\u5bf9\u5e94\u7684\u4f7f\u7528\u573a\u666f\u4ecb\u7ecd\u3001\u5b9e\u9645\u6848\u4f8b\u3001\u5b66\u4e60\u6307\u5357\u3001\u6a21\u578b\u3001\u6570\u636e\u96c6\u7b49\u8d44\u6e90\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
NeRF<\/a><\/td>\n\u4e00\u6b3e AI \u6a21\u578b\uff0c\u53ef\u501f\u52a9\u4eba\u5de5\u667a\u80fd\u6280\u672f\uff0c\u628a\u591a\u5f20 2D \u56fe\u7247\u8fdb\u884c\u62fc\u63a5\uff0c\u8fdb\u800c\u751f\u6210\u8be5\u56fe\u7247\u7684 3D \u6a21\u578b\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
annotated_latex_equations<\/a><\/td>\nGitHub \u4e0a\u4e00\u4e2a\u5f00\u6e90\u7684 LaTeX \u793a\u4f8b\u5e93\uff0c\u6559\u4f60\u5982\u4f55\u4f7f\u7528 Tikz \u521b\u5efa\u5f69\u8272\u7684 LaTeX \u6ce8\u91ca\uff0c\u8ba9\u8bba\u6587\u53d8\u5f97\u66f4\u4e3a\u7b80\u6d01\u4e0e\u7f8e\u89c2\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
\u52a8\u6f2b\u8096\u50cf\u9b54\u6cd5<\/a><\/td>\n\u6765\u81ea\u9ebb\u7701\u7406\u5de5\u5927\u5b66\u7684\u5de5\u4f5c\u5ba4 sizigi\uff0c\u53d1\u5e03\u7684\u4e00\u6b3e\u5f88\u6709\u610f\u601d\u7684 AI \u5de5\u5177\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u9009\u62e9\u5934\u50cf\u3001\u6ee4\u955c\u3001\u98ce\u683c\u3001\u52a8\u4f5c\u7b49 4 \u4e2a\u6b65\u9aa4\uff0c\u6765\u5b9a\u5236\u4e00\u4e2a\u4e13\u5c5e\u7684\u4e8c\u6b21\u5143\u8001\u5a46 \/ \u8001\u516c<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n
ddddocr<\/a><\/td>\n\u4e00\u4e2a\u5f00\u6e90\u7684\u4e2d\u6587 OCR \u901a\u7528\u9a8c\u8bc1\u7801 Python \u8bc6\u522b\u5e93\uff0c\u901a\u8fc7\u5927\u6279\u91cf\u751f\u6210\u968f\u673a\u6570\u636e\uff0c\u5e76\u8fdb\u884c\u6df1\u5ea6\u7f51\u7edc\u8bad\u7ec3\uff0c\u5e2e\u52a9\u5382\u5546\u68c0\u9a8c\u81ea\u5bb6\u9a8c\u8bc1\u7801\u7684\u96be\u6613\u5f3a\u5ea6\u3002<\/td>\n\"\"<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>","protected":false},"excerpt":{"rendered":"

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