{"id":1473,"date":"2015-03-14T16:05:08","date_gmt":"2015-03-14T08:05:08","guid":{"rendered":"http:\/\/boweihe.me\/?p=1473"},"modified":"2015-03-14T16:05:08","modified_gmt":"2015-03-14T08:05:08","slug":"%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e8%b5%84%e6%ba%90","status":"publish","type":"post","link":"https:\/\/dayandcarrot.space\/?p=1473","title":{"rendered":"\u673a\u5668\u5b66\u4e60\u8d44\u6e90"},"content":{"rendered":"<p>\u672c\u6587\u6c47\u7f16\u4e86\u4e00\u4e9b\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u6846\u67b6\u3001\u5e93\u4ee5\u53ca\u8f6f\u4ef6\uff08\u6309\u7f16\u7a0b\u8bed\u8a00\u6392\u5e8f\uff09\u3002<br \/>\n<strong>C++<\/strong><br \/>\n<strong>\u8ba1\u7b97\u673a\u89c6\u89c9<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>CCV \u2014\u57fa\u4e8eC\u8bed\u8a00\/\u63d0\u4f9b\u7f13\u5b58\/\u6838\u5fc3\u7684\u673a\u5668\u89c6\u89c9\u5e93\uff0c\u65b0\u9896\u7684\u673a\u5668\u89c6\u89c9\u5e93<\/li>\n<li>OpenCV\u2014\u5b83\u63d0\u4f9bC++\uff0c C, Python, Java \u4ee5\u53ca MATLAB \u63a5\u53e3\uff0c\u5e76\u652f\u6301 Windows, Linux\uff0c Android and Mac OS \u64cd\u4f5c\u7cfb\u7edf\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>MLPack<\/li>\n<li>DLib<\/li>\n<li>ecogg<\/li>\n<li>shark<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>Closure<\/strong><br \/>\n<strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Closure Toolbox\u2014Clojure \u8bed\u8a00\u5e93\u4e0e\u5de5\u5177\u7684\u5206\u7c7b\u76ee\u5f55<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>Go<\/strong><br \/>\n<strong>\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>go-porterstemmer\u2014\u4e00\u4e2a Porter \u8bcd\u5e72\u63d0\u53d6\u7b97\u6cd5\u7684\u539f\u751f Go \u8bed\u8a00\u51c0\u5ba4\u5b9e\u73b0<\/li>\n<li>paicehusk\u2014Paice\/Husk \u8bcd\u5e72\u63d0\u53d6\u7b97\u6cd5\u7684 Go \u8bed\u8a00\u5b9e\u73b0<\/li>\n<li>snowball\u2014Go \u8bed\u8a00\u7248\u7684 Snowball \u8bcd\u5e72\u63d0\u53d6\u5668<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Go Learn\u2014 Go \u8bed\u8a00\u673a\u5668\u5b66\u4e60\u5e93<\/li>\n<li>go-pr \u2014Go \u8bed\u8a00\u673a\u5668\u5b66\u4e60\u5305.<\/li>\n<li>bayesian\u2014Go \u8bed\u8a00\u6734\u7d20\u8d1d\u53f6\u65af\u5206\u7c7b\u5e93\u3002<\/li>\n<li>go-galib\u2014Go \u8bed\u8a00\u9057\u4f20\u7b97\u6cd5\u5e93\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6570\u636e\u5206\u6790\/\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>go-graph\u2014Go \u8bed\u8a00\u56fe\u5f62\u5e93\u3002<\/li>\n<li>SVGo\u2014Go \u8bed\u8a00\u7684 SVG \u751f\u6210\u5e93\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>Java<\/strong><br \/>\n<strong>\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>CoreNLP\u2014\u65af\u5766\u798f\u5927\u5b66\u7684 CoreNLP \u63d0\u4f9b\u4e00\u7cfb\u5217\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5de5\u5177\uff0c\u8f93\u5165\u539f\u59cb\u82f1\u8bed\u6587\u672c\uff0c\u53ef\u4ee5\u7ed9\u51fa\u5355\u8bcd\u7684\u57fa\u672c\u5f62\u5f0f\uff08\u4e0b\u9762 Stanford \u5f00\u5934\u7684\u51e0\u4e2a\u5de5\u5177\u90fd\u5305\u542b\u5176\u4e2d\uff09\u3002<\/li>\n<li>Stanford Parser\u2014\u4e00\u4e2a\u81ea\u7136\u8bed\u8a00\u89e3\u6790\u5668\u3002<\/li>\n<li>Stanford POS Tagger \u2014\u4e00\u4e2a\u8bcd\u6027\u5206\u7c7b\u5668\u3002<\/li>\n<li>Stanford Name Entity Recognizer\u2014Java \u5b9e\u73b0\u7684\u540d\u79f0\u8bc6\u522b\u5668<\/li>\n<li>Stanford Word Segmenter\u2014\u5206\u8bcd\u5668\uff0c\u5f88\u591a NLP \u5de5\u4f5c\u4e2d\u90fd\u8981\u7528\u5230\u7684\u6807\u51c6\u9884\u5904\u7406\u6b65\u9aa4\u3002<\/li>\n<li>Tregex\uff0c Tsurgeon and Semgrex \u2014\u7528\u6765\u5728\u6811\u72b6\u6570\u636e\u7ed3\u6784\u4e2d\u8fdb\u884c\u6a21\u5f0f\u5339\u914d\uff0c\u57fa\u4e8e\u6811\u5173\u7cfb\u4ee5\u53ca\u8282\u70b9\u5339\u914d\u7684\u6b63\u5219\u8868\u8fbe\u5f0f\uff08\u540d\u5b57\u662f\u201ctree regular expressions\u201d\u7684\u7f29\u5199\uff09\u3002<\/li>\n<li>Stanford Phrasal:\u6700\u65b0\u7684\u57fa\u4e8e\u7edf\u8ba1\u77ed\u8bed\u7684\u673a\u5668\u7ffb\u8bd1\u7cfb\u7edf\uff0c java \u7f16\u5199<\/li>\n<li>Stanford Tokens Regex\u2014\u7528\u4ee5\u5b9a\u4e49\u6587\u672c\u6a21\u5f0f\u7684\u6846\u67b6\u3002<\/li>\n<li>Stanford Temporal Tagger\u2014SUTime \u662f\u4e00\u4e2a\u8bc6\u522b\u5e76\u6807\u51c6\u5316\u65f6\u95f4\u8868\u8fbe\u5f0f\u7684\u5e93\u3002<\/li>\n<li>Stanford SPIED\u2014\u5728\u79cd\u5b50\u96c6\u4e0a\u4f7f\u7528\u6a21\u5f0f\uff0c\u4ee5\u8fed\u4ee3\u65b9\u5f0f\u4ece\u65e0\u6807\u7b7e\u6587\u672c\u4e2d\u5b66\u4e60\u5b57\u7b26\u5b9e\u4f53<\/li>\n<li>Stanford Topic Modeling Toolbox \u2014\u4e3a\u793e\u4f1a\u79d1\u5b66\u5bb6\u53ca\u5176\u4ed6\u5e0c\u671b\u5206\u6790\u6570\u636e\u96c6\u7684\u4eba\u5458\u63d0\u4f9b\u7684\u4e3b\u9898\u5efa\u6a21\u5de5\u5177\u3002<\/li>\n<li>Twitter Text Java\u2014Java \u5b9e\u73b0\u7684\u63a8\u7279\u6587\u672c\u5904\u7406\u5e93<\/li>\n<li>MALLET -\u2014\u57fa\u4e8e Java \u7684\u7edf\u8ba1\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u6587\u6863\u5206\u7c7b\u3001\u805a\u7c7b\u3001\u4e3b\u9898\u5efa\u6a21\u3001\u4fe1\u606f\u63d0\u53d6\u4ee5\u53ca\u5176\u4ed6\u673a\u5668\u5b66\u4e60\u6587\u672c\u5e94\u7528\u5305\u3002<\/li>\n<li>OpenNLP\u2014\u5904\u7406\u81ea\u7136\u8bed\u8a00\u6587\u672c\u7684\u673a\u5668\u5b66\u4e60\u5de5\u5177\u5305\u3002<\/li>\n<li>LingPipe \u2014\u4f7f\u7528\u8ba1\u7b97\u673a\u8bed\u8a00\u5b66\u5904\u7406\u6587\u672c\u7684\u5de5\u5177\u5305\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>MLlib in Apache Spark\u2014Spark \u4e2d\u7684\u5206\u5e03\u5f0f\u673a\u5668\u5b66\u4e60\u7a0b\u5e8f\u5e93<\/li>\n<li>Mahout \u2014\u5206\u5e03\u5f0f\u7684\u673a\u5668\u5b66\u4e60\u5e93<\/li>\n<li>Stanford Classifier \u2014\u65af\u5766\u798f\u5927\u5b66\u7684\u5206\u7c7b\u5668<\/li>\n<li>Weka\u2014Weka \u662f\u6570\u636e\u6316\u6398\u65b9\u9762\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u96c6\u3002<\/li>\n<li>ORYX\u2014\u63d0\u4f9b\u4e00\u4e2a\u7b80\u5355\u7684\u5927\u89c4\u6a21\u5b9e\u65f6\u673a\u5668\u5b66\u4e60\/\u9884\u6d4b\u5206\u6790\u57fa\u7840\u67b6\u6784\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6570\u636e\u5206\u6790\/\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Hadoop\u2014\u5927\u6570\u636e\u5206\u6790\u5e73\u53f0<\/li>\n<li>Spark\u2014\u5feb\u901f\u901a\u7528\u7684\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u5f15\u64ce\u3002<\/li>\n<li>Impala \u2014\u4e3a Hadoop \u5b9e\u73b0\u5b9e\u65f6\u67e5\u8be2<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>Javascript<\/strong><br \/>\n<strong>\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Twitter-text-js \u2014JavaScript \u5b9e\u73b0\u7684\u63a8\u7279\u6587\u672c\u5904\u7406\u5e93<\/li>\n<li>NLP.js \u2014javascript \u53ca coffeescript \u7f16\u5199\u7684 NLP \u5de5\u5177<\/li>\n<li>natural\u2014Node \u4e0b\u7684\u901a\u7528 NLP \u5de5\u5177<\/li>\n<li>Knwl.js\u2014JS \u7f16\u5199\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5668<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6570\u636e\u5206\u6790\/\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>D3.js<\/li>\n<li>High Charts<\/li>\n<li>NVD3.js<\/li>\n<li>dc.js<\/li>\n<li>chartjs<\/li>\n<li>dimple<\/li>\n<li>amCharts<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Convnet.js\u2014\u8bad\u7ec3\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684 JavaScript \u5e93\u3002<\/li>\n<li>Clustering.js\u2014\u7528 JavaScript \u5b9e\u73b0\u7684\u805a\u7c7b\u7b97\u6cd5\uff0c\u4f9b Node.js \u53ca\u6d4f\u89c8\u5668\u4f7f\u7528\u3002<\/li>\n<li>Decision Trees\u2014Node.js \u5b9e\u73b0\u7684\u51b3\u7b56\u6811\uff0c\u4f7f\u7528 ID3 \u7b97\u6cd5\u3002<\/li>\n<li>Node-fann \u2014Node.js \u4e0b\u7684\u5feb\u901f\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u5e93\u3002<\/li>\n<li>Kmeans.js\u2014k-means \u7b97\u6cd5\u7684\u7b80\u5355 Javascript \u5b9e\u73b0\uff0c\u4f9b Node.js \u53ca\u6d4f\u89c8\u5668\u4f7f\u7528\u3002<\/li>\n<li>LDA.js \u2014\u4f9b Node.js \u7528\u7684 LDA \u4e3b\u9898\u5efa\u6a21\u5de5\u5177\u3002<\/li>\n<li>Learning.js\u2014\u903b\u8f91\u56de\u5f52\/c4.5 \u51b3\u7b56\u6811\u7684 JavaScript \u5b9e\u73b0<\/li>\n<li>Machine Learning\u2014Node.js \u7684\u673a\u5668\u5b66\u4e60\u5e93\u3002<\/li>\n<li>Node-SVM\u2014Node.js \u7684\u652f\u6301\u5411\u91cf\u673a<\/li>\n<li>Brain \u2014JavaScript \u5b9e\u73b0\u7684\u795e\u7ecf\u7f51\u7edc<\/li>\n<li>Bayesian-Bandit \u2014\u8d1d\u53f6\u65af\u5f3a\u76d7\u7b97\u6cd5\u7684\u5b9e\u73b0\uff0c\u4f9b Node.js \u53ca\u6d4f\u89c8\u5668\u4f7f\u7528\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>Julia<\/strong><br \/>\n<strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>PGM\u2014Julia \u5b9e\u73b0\u7684\u6982\u7387\u56fe\u6a21\u578b\u6846\u67b6\u3002<\/li>\n<li>DA\u2014Julia \u5b9e\u73b0\u7684\u6b63\u5219\u5316\u5224\u522b\u5206\u6790\u5305\u3002<\/li>\n<li>Regression\u2014\u56de\u5f52\u5206\u6790\u7b97\u6cd5\u5305\uff08\u5982\u7ebf\u6027\u56de\u5f52\u548c\u903b\u8f91\u56de\u5f52\uff09\u3002<\/li>\n<li>Local Regression \u2014\u5c40\u90e8\u56de\u5f52\uff0c\u975e\u5e38\u5e73\u6ed1\uff01<\/li>\n<li>Naive Bayes \u2014\u6734\u7d20\u8d1d\u53f6\u65af\u7684\u7b80\u5355 Julia \u5b9e\u73b0<\/li>\n<li>Mixed Models \u2014\uff08\u7edf\u8ba1\uff09\u6df7\u5408\u6548\u5e94\u6a21\u578b\u7684 Julia \u5305<\/li>\n<li>Simple MCMC \u2014Julia \u5b9e\u73b0\u7684\u57fa\u672c mcmc \u91c7\u6837\u5668<\/li>\n<li>Distance\u2014Julia \u5b9e\u73b0\u7684\u8ddd\u79bb\u8bc4\u4f30\u6a21\u5757<\/li>\n<li>Decision Tree \u2014\u51b3\u7b56\u6811\u5206\u7c7b\u5668\u53ca\u56de\u5f52\u5206\u6790\u5668<\/li>\n<li>Neural \u2014Julia \u5b9e\u73b0\u7684\u795e\u7ecf\u7f51\u7edc<\/li>\n<li>MCMC \u2014Julia \u4e0b\u7684 MCMC \u5de5\u5177<\/li>\n<li>GLM \u2014Julia \u5199\u7684\u5e7f\u4e49\u7ebf\u6027\u6a21\u578b\u5305<\/li>\n<li>Online Learning<\/li>\n<li>GLMNet \u2014GMLNet \u7684 Julia \u5305\u88c5\u7248\uff0c\u9002\u5408\u5957\u7d22\/\u5f39\u6027\u7f51\u6a21\u578b\u3002<\/li>\n<li>Clustering\u2014\u6570\u636e\u805a\u7c7b\u7684\u57fa\u672c\u51fd\u6570\uff1ak-means, dp-means \u7b49\u3002<\/li>\n<li>SVM\u2014Julia \u4e0b\u7684\u652f\u6301\u5411\u91cf\u673a\u3002<\/li>\n<li>Kernal Density\u2014Julia \u4e0b\u7684\u6838\u5bc6\u5ea6\u4f30\u8ba1\u5668<\/li>\n<li>Dimensionality Reduction\u2014\u964d\u7ef4\u7b97\u6cd5<\/li>\n<li>NMF \u2014Julia \u4e0b\u7684\u975e\u8d1f\u77e9\u9635\u5206\u89e3\u5305<\/li>\n<li>ANN\u2014Julia \u5b9e\u73b0\u7684\u795e\u7ecf\u7f51\u7edc<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Topic Models \u2014Julia \u4e0b\u7684\u4e3b\u9898\u5efa\u6a21<\/li>\n<li>Text Analysis\u2014Julia \u4e0b\u7684\u6587\u672c\u5206\u6790\u5305<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6570\u636e\u5206\u6790\/\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Graph Layout \u2014\u7eaf Julia \u5b9e\u73b0\u7684\u56fe\u5e03\u5c40\u7b97\u6cd5\u3002<\/li>\n<li>Data Frames Meta \u2014DataFrames \u7684\u5143\u7f16\u7a0b\u5de5\u5177\u3002<\/li>\n<li>Julia Data\u2014\u5904\u7406\u8868\u683c\u6570\u636e\u7684 Julia \u5e93<\/li>\n<li>Data Read\u2014\u4ece Stata\u3001SAS\u3001SPSS \u8bfb\u53d6\u6587\u4ef6<\/li>\n<li>Hypothesis Tests\u2014Julia \u4e2d\u7684\u5047\u8bbe\u68c0\u9a8c\u5305<\/li>\n<li>Gladfly \u2014Julia \u7f16\u5199\u7684\u7075\u5de7\u7684\u7edf\u8ba1\u7ed8\u56fe\u7cfb\u7edf\u3002<\/li>\n<li>Stats\u2014Julia \u7f16\u5199\u7684\u7edf\u8ba1\u6d4b\u8bd5\u51fd\u6570\u5305<\/li>\n<li>RDataSets \u2014\u8bfb\u53d6R\u8bed\u8a00\u4e2d\u4f17\u591a\u53ef\u7528\u7684\u6570\u636e\u96c6\u7684 Julia \u51fd\u6570\u5305\u3002<\/li>\n<li>DataFrames \u2014\u5904\u7406\u8868\u683c\u6570\u636e\u7684 Julia \u5e93\u3002<\/li>\n<li>Distributions\u2014\u6982\u7387\u5206\u5e03\u53ca\u76f8\u5173\u51fd\u6570\u7684 Julia \u5305\u3002<\/li>\n<li>Data Arrays \u2014\u5143\u7d20\u503c\u53ef\u4ee5\u4e3a\u7a7a\u7684\u6570\u636e\u7ed3\u6784\u3002<\/li>\n<li>Time Series\u2014Julia \u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u5de5\u5177\u5305\u3002<\/li>\n<li>Sampling\u2014Julia \u7684\u57fa\u672c\u91c7\u6837\u7b97\u6cd5\u5305<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6742\u9879\/\u6f14\u793a\u6587\u7a3f<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>DSP \u2014\u6570\u5b57\u4fe1\u53f7\u5904\u7406<\/li>\n<li>JuliaCon Presentations\u2014Julia \u5927\u4f1a\u4e0a\u7684\u6f14\u793a\u6587\u7a3f<\/li>\n<li>SignalProcessing\u2014Julia \u7684\u4fe1\u53f7\u5904\u7406\u5de5\u5177<\/li>\n<li>Images\u2014Julia \u7684\u56fe\u7247\u5e93<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>Lua<\/strong><br \/>\n<strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Torch7<\/li>\n<li>cephes \u2014Cephes \u6570\u5b66\u51fd\u6570\u5e93\uff0c\u5305\u88c5\u6210 Torch \u53ef\u7528\u5f62\u5f0f\u3002\u63d0\u4f9b\u5e76\u5305\u88c5\u4e86\u8d85\u8fc7 180 \u4e2a\u7279\u6b8a\u7684\u6570\u5b66\u51fd\u6570\uff0c\u7531 Stephen L. Moshier \u5f00\u53d1\uff0c\u662f SciPy \u7684\u6838\u5fc3\uff0c\u5e94\u7528\u4e8e\u5f88\u591a\u573a\u5408\u3002<\/li>\n<li>graph \u2014\u4f9b Torch \u4f7f\u7528\u7684\u56fe\u5f62\u5305\u3002<\/li>\n<li>randomkit\u2014\u4ece Numpy \u63d0\u53d6\u7684\u968f\u673a\u6570\u751f\u6210\u5305\uff0c\u5305\u88c5\u6210 Torch \u53ef\u7528\u5f62\u5f0f\u3002<\/li>\n<li>signal \u2014Torch-7 \u53ef\u7528\u7684\u4fe1\u53f7\u5904\u7406\u5de5\u5177\u5305\uff0c\u53ef\u8fdb\u884c FFT, DCT, Hilbert, cepstrums, stft \u7b49\u53d8\u6362\u3002<\/li>\n<li>nn \u2014Torch \u53ef\u7528\u7684\u795e\u7ecf\u7f51\u7edc\u5305\u3002<\/li>\n<li>nngraph \u2014\u4e3a nn \u5e93\u63d0\u4f9b\u56fe\u5f62\u8ba1\u7b97\u80fd\u529b\u3002<\/li>\n<li>nnx\u2014\u4e00\u4e2a\u4e0d\u7a33\u5b9a\u5b9e\u9a8c\u6027\u7684\u5305\uff0c\u6269\u5c55 Torch \u5185\u7f6e\u7684 nn \u5e93\u3002<\/li>\n<li>optim\u2014Torch \u53ef\u7528\u7684\u4f18\u5316\u7b97\u6cd5\u5e93\uff0c\u5305\u62ec SGD, Adagrad, \u5171\u8f6d\u68af\u5ea6\u7b97\u6cd5\uff0c LBFGS, RProp \u7b49\u7b97\u6cd5\u3002<\/li>\n<li>unsup\u2014Torch \u4e0b\u7684\u975e\u76d1\u7763\u5b66\u4e60\u5305\u3002\u63d0\u4f9b\u7684\u6a21\u5757\u4e0e nn (LinearPsd, ConvPsd, AutoEncoder, \u2026)\u53ca\u72ec\u7acb\u7b97\u6cd5 (k-means, PCA)\u7b49\u517c\u5bb9\u3002<\/li>\n<li>manifold\u2014\u64cd\u4f5c\u6d41\u5f62\u7684\u5305\u3002<\/li>\n<li>svm\u2014Torch \u7684\u652f\u6301\u5411\u91cf\u673a\u5e93\u3002<\/li>\n<li>lbfgs\u2014\u5c06 liblbfgs \u5305\u88c5\u4e3a FFI \u63a5\u53e3\u3002<\/li>\n<li>vowpalwabbit \u2014\u8001\u7248\u7684 vowpalwabbit \u5bf9 torch \u7684\u63a5\u53e3\u3002<\/li>\n<li>OpenGM\u2014OpenGM \u662f C++ \u7f16\u5199\u7684\u56fe\u5f62\u5efa\u6a21\u53ca\u63a8\u65ad\u5e93\uff0c\u8be5 binding \u53ef\u4ee5\u7528 Lua \u4ee5\u7b80\u5355\u7684\u65b9\u5f0f\u63cf\u8ff0\u56fe\u5f62\uff0c\u7136\u540e\u7528 OpenGM \u4f18\u5316\u3002<\/li>\n<li>sphagetti \u2014MichaelMathieu \u4e3a torch7 \u7f16\u5199\u7684\u7a00\u758f\u7ebf\u6027\u6a21\u5757\u3002<\/li>\n<li>LuaSHKit \u2014\u5c06\u5c40\u90e8\u654f\u611f\u54c8\u5e0c\u5e93 SHKit \u5305\u88c5\u6210 lua \u53ef\u7528\u5f62\u5f0f\u3002<\/li>\n<li>kernel smoothing \u2014KNN\u3001\u6838\u6743\u5e73\u5747\u4ee5\u53ca\u5c40\u90e8\u7ebf\u6027\u56de\u5f52\u5e73\u6ed1\u5668<\/li>\n<li>cutorch\u2014torch \u7684 CUDA \u540e\u7aef\u5b9e\u73b0<\/li>\n<li>cunn \u2014torch \u7684 CUDA \u795e\u7ecf\u7f51\u7edc\u5b9e\u73b0\u3002<\/li>\n<li>imgraph\u2014torch \u7684\u56fe\u50cf\/\u56fe\u5f62\u5e93\uff0c\u63d0\u4f9b\u4ece\u56fe\u50cf\u521b\u5efa\u56fe\u5f62\u3001\u5206\u5272\u3001\u5efa\u7acb\u6811\u3001\u53c8\u8f6c\u5316\u56de\u56fe\u50cf\u7684\u4f8b\u7a0b<\/li>\n<li>videograph\u2014torch \u7684\u89c6\u9891\/\u56fe\u5f62\u5e93\uff0c\u63d0\u4f9b\u4ece\u89c6\u9891\u521b\u5efa\u56fe\u5f62\u3001\u5206\u5272\u3001\u5efa\u7acb\u6811\u3001\u53c8\u8f6c\u5316\u56de\u89c6\u9891\u7684\u4f8b\u7a0b<\/li>\n<li>saliency \u2014\u79ef\u5206\u56fe\u50cf\u7684\u4ee3\u7801\u548c\u5de5\u5177\uff0c\u7528\u6765\u4ece\u5feb\u901f\u79ef\u5206\u76f4\u65b9\u56fe\u4e2d\u5bfb\u627e\u5174\u8da3\u70b9\u3002<\/li>\n<li>stitch \u2014\u4f7f\u7528 hugin \u62fc\u5408\u56fe\u50cf\u5e76\u5c06\u5176\u751f\u6210\u89c6\u9891\u5e8f\u5217\u3002<\/li>\n<li>sfm\u2014\u8fd0\u52a8\u573a\u666f\u675f\u8c03\u6574\/\u7ed3\u6784\u5305<\/li>\n<li>fex \u2014torch \u7684\u7279\u5f81\u63d0\u53d6\u5305\uff0c\u63d0\u4f9b SIFT \u548c dSIFT \u6a21\u5757\u3002<\/li>\n<li>OverFeat\u2014\u5f53\u524d\u6700\u9ad8\u6c34\u51c6\u7684\u901a\u7528\u5bc6\u5ea6\u7279\u5f81\u63d0\u53d6\u5668\u3002<\/li>\n<li>Numeric Lua<\/li>\n<li>Lunatic Python<\/li>\n<li>SciLua<\/li>\n<li>Lua \u2013 Numerical Algorithms<\/li>\n<li>Lunum<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6f14\u793a\u53ca\u811a\u672c<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Core torch7 demos repository.\u6838\u5fc3 torch7 \u6f14\u793a\u7a0b\u5e8f\u5e93<\/li>\n<li>\u7ebf\u6027\u56de\u5f52\u3001\u903b\u8f91\u56de\u5f52<\/li>\n<li>\u4eba\u8138\u68c0\u6d4b\uff08\u8bad\u7ec3\u548c\u68c0\u6d4b\u662f\u72ec\u7acb\u7684\u6f14\u793a\uff09<\/li>\n<li>\u57fa\u4e8e mst \u7684\u65ad\u8bcd\u5668<\/li>\n<li>train-a-digit-classifier<\/li>\n<li>train-autoencoder<\/li>\n<li>optical flow demo<\/li>\n<li>train-on-housenumbers<\/li>\n<li>train-on-cifar<\/li>\n<li>tracking with deep nets<\/li>\n<li>kinect demo<\/li>\n<li>\u6ee4\u6ce2\u53ef\u89c6\u5316<\/li>\n<li>saliency-networks<\/li>\n<li>Training a Convnet for the Galaxy-Zoo Kaggle challenge (CUDA demo)<\/li>\n<li>Music Tagging\u2014torch7 \u4e0b\u7684\u97f3\u4e50\u6807\u7b7e\u811a\u672c<\/li>\n<li>torch-datasets \u8bfb\u53d6\u51e0\u4e2a\u6d41\u884c\u7684\u6570\u636e\u96c6\u7684\u811a\u672c\uff0c\u5305\u62ec\uff1a<\/li>\n<li>BSR 500<\/li>\n<li>CIFAR-10<\/li>\n<li>COIL<\/li>\n<li>Street View House Numbers<\/li>\n<li>MNIST<\/li>\n<li>NORB<\/li>\n<li>Atari2600 \u2014\u5728 Arcade Learning Environment \u6a21\u62df\u5668\u4e2d\u7528\u9759\u6001\u5e27\u751f\u6210\u6570\u636e\u96c6\u7684\u811a\u672c\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>Matlab<\/strong><br \/>\n<strong>\u8ba1\u7b97\u673a\u89c6\u89c9<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Contourlets \u2014\u5b9e\u73b0\u8f6e\u5ed3\u6ce2\u53d8\u6362\u53ca\u5176\u4f7f\u7528\u51fd\u6570\u7684 MATLAB \u6e90\u4ee3\u7801<\/li>\n<li>Shearlets\u2014\u526a\u5207\u6ce2\u53d8\u6362\u7684 MATLAB \u6e90\u7801<\/li>\n<li>Curvelets\u2014Curvelet \u53d8\u6362\u7684 MATLAB \u6e90\u7801\uff08Curvelet \u53d8\u6362\u662f\u5bf9\u5c0f\u6ce2\u53d8\u6362\u5411\u66f4\u9ad8\u7ef4\u7684\u63a8\u5e7f\uff0c\u7528\u6765\u5728\u4e0d\u540c\u5c3a\u5ea6\u89d2\u5ea6\u8868\u793a\u56fe\u50cf\u3002\uff09<\/li>\n<li>Bandlets\u2014Bandlets \u53d8\u6362\u7684 MATLAB \u6e90\u7801<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>NLP \u2014\u4e00\u4e2a Matlab \u7684 NLP \u5e93<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Training a deep autoencoder or a classifier on MNIST digits\u2014\u5728 MNIST \u5b57\u7b26\u6570\u636e\u96c6\u4e0a\u8bad\u7ec3\u4e00\u4e2a\u6df1\u5ea6\u7684 autoencoder \u6216\u5206\u7c7b\u5668[\u6df1\u5ea6\u5b66\u4e60]\u3002<\/li>\n<li>t-Distributed Stochastic Neighbor Embedding \u2014\u83b7\u5956\u7684\u964d\u7ef4\u6280\u672f\uff0c\u7279\u522b\u9002\u5408\u4e8e\u9ad8\u7ef4\u6570\u636e\u96c6\u7684\u53ef\u89c6\u5316<\/li>\n<li>Spider\u2014Matlab \u673a\u5668\u5b66\u4e60\u7684\u5b8c\u6574\u9762\u5411\u5bf9\u8c61\u73af\u5883\u3002<\/li>\n<li>LibSVM \u2014\u652f\u6301\u5411\u91cf\u673a\u7a0b\u5e8f\u5e93<\/li>\n<li>LibLinear \u2014\u5927\u578b\u7ebf\u6027\u5206\u7c7b\u7a0b\u5e8f\u5e93<\/li>\n<li>Machine Learning Module \u2014M. A .Girolami \u6559\u6388\u7684\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b\uff0c\u5305\u62ec PDF\uff0c\u8bb2\u4e49\u53ca\u4ee3\u7801\u3002<\/li>\n<li>Caffe\u2014\u8003\u8651\u4e86\u4ee3\u7801\u6e05\u6d01\u3001\u53ef\u8bfb\u6027\u53ca\u901f\u5ea6\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6<\/li>\n<li>Pattern Recognition Toolbox \u2014Matlab \u4e2d\u7684\u6a21\u5f0f\u8bc6\u522b\u5de5\u5177\u5305\uff0c\u5b8c\u5168\u9762\u5411\u5bf9\u8c61<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6570\u636e\u5206\u6790\/\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>matlab_gbl\u2014\u5904\u7406\u56fe\u50cf\u7684 Matlab \u5305<\/li>\n<li>gamic\u2014\u56fe\u50cf\u7b97\u6cd5\u7eaf Matlab \u9ad8\u6548\u5b9e\u73b0\uff0c\u5bf9 MatlabBGL \u7684 mex \u51fd\u6570\u662f\u4e2a\u8865\u5145\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>.NET<\/strong><br \/>\n<strong>\u8ba1\u7b97\u673a\u89c6\u89c9<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>OpenCVDotNet \u2014\u5305\u88c5\u5668\uff0c\u4f7f .NET \u7a0b\u5e8f\u80fd\u4f7f\u7528 OpenCV \u4ee3\u7801<\/li>\n<li>Emgu CV\u2014\u8de8\u5e73\u53f0\u7684\u5305\u88c5\u5668\uff0c\u80fd\u5728 Windows, Linus, Mac OS X, iOS, \u548c Android \u4e0a\u7f16\u8bd1\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Stanford.NLP for .NET \u2014\u65af\u5766\u798f\u5927\u5b66 NLP \u5305\u5728 .NET \u4e0a\u7684\u5b8c\u5168\u79fb\u690d\uff0c\u8fd8\u53ef\u4f5c\u4e3a NuGet \u5305\u8fdb\u884c\u9884\u7f16\u8bd1\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Accord.MachineLearning \u2014\u652f\u6301\u5411\u91cf\u673a\u3001\u51b3\u7b56\u6811\u3001\u6734\u7d20\u8d1d\u53f6\u65af\u6a21\u578b\u3001K-means\u3001\u9ad8\u65af\u6df7\u5408\u6a21\u578b\u548c\u673a\u5668\u5b66\u4e60\u5e94\u7528\u7684\u901a\u7528\u7b97\u6cd5\uff0c\u4f8b\u5982\uff1a\u968f\u673a\u62bd\u6837\u4e00\u81f4\u6027\u7b97\u6cd5\u3001\u4ea4\u53c9\u9a8c\u8bc1\u3001\u7f51\u683c\u641c\u7d22\u3002\u8fd9\u4e2a\u5305\u662f Accord.NET \u6846\u67b6\u7684\u4e00\u90e8\u5206\u3002<\/li>\n<li>Vulpes\u2014F#\u8bed\u8a00\u5b9e\u73b0\u7684 Deep belief \u548c\u6df1\u5ea6\u5b66\u4e60\u5305\uff0c\u5b83\u5728 Alea.cuBase \u4e0b\u5229\u7528 CUDA GPU \u6765\u6267\u884c\u3002<\/li>\n<li>Encog \u2014\u5148\u8fdb\u7684\u795e\u7ecf\u7f51\u7edc\u548c\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u5305\u62ec\u7528\u6765\u521b\u5efa\u591a\u79cd\u7f51\u7edc\u7684\u7c7b\uff0c\u4e5f\u652f\u6301\u795e\u7ecf\u7f51\u7edc\u9700\u8981\u7684\u6570\u636e\u89c4\u5219\u5316\u53ca\u5904\u7406\u7684\u7c7b\u3002\u5b83\u7684\u8bad\u7ec3\u91c7\u7528\u591a\u7ebf\u7a0b\u5f39\u6027\u4f20\u64ad\u3002\u5b83\u4e5f\u80fd\u4f7f\u7528 GPU \u52a0\u5feb\u5904\u7406\u65f6\u95f4\u3002\u63d0\u4f9b\u4e86\u56fe\u5f62\u5316\u754c\u9762\u6765\u5e2e\u52a9\u5efa\u6a21\u548c\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc\u3002<\/li>\n<li>Neural Network Designer \u2014\u8fd9\u662f\u4e00\u4e2a\u6570\u636e\u5e93\u7ba1\u7406\u7cfb\u7edf\u548c\u795e\u7ecf\u7f51\u7edc\u8bbe\u8ba1\u5668\u3002\u8bbe\u8ba1\u5668\u7528 WPF \u5f00\u53d1\uff0c\u4e5f\u662f\u4e00\u4e2a UI\uff0c\u4f60\u53ef\u4ee5\u8bbe\u8ba1\u4f60\u7684\u795e\u7ecf\u7f51\u7edc\u3001\u67e5\u8be2\u7f51\u7edc\u3001\u521b\u5efa\u5e76\u914d\u7f6e\u804a\u5929\u673a\u5668\u4eba\uff0c\u5b83\u80fd\u95ee\u95ee\u9898\uff0c\u5e76\u4ece\u4f60\u7684\u53cd\u9988\u4e2d\u5b66\u4e60\u3002\u8fd9\u4e9b\u673a\u5668\u4eba\u751a\u81f3\u53ef\u4ee5\u4ece\u7f51\u7edc\u641c\u96c6\u4fe1\u606f\u7528\u6765\u8f93\u51fa\uff0c\u6216\u662f\u7528\u6765\u5b66\u4e60\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6570\u636e\u5206\u6790\/\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>numl \u2014numl \u8fd9\u4e2a\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u76ee\u6807\u5c31\u662f\u7b80\u5316\u9884\u6d4b\u548c\u805a\u7c7b\u7684\u6807\u51c6\u5efa\u6a21\u6280\u672f\u3002<\/li>\n<li>Math.NET Numerics\u2014Math.NET \u9879\u76ee\u7684\u6570\u503c\u8ba1\u7b97\u57fa\u7840\uff0c\u7740\u773c\u63d0\u4f9b\u79d1\u5b66\u3001\u5de5\u7a0b\u4ee5\u53ca\u65e5\u5e38\u6570\u503c\u8ba1\u7b97\u7684\u65b9\u6cd5\u548c\u7b97\u6cd5\u3002\u652f\u6301 Windows, Linux \u548c Mac \u4e0a\u7684 .Net 4.0, .Net 3.5 \u548c Mono \uff0cSilverlight 5, WindowsPhone\/SL 8, WindowsPhone 8.1 \u4ee5\u53ca\u88c5\u6709 PCL Portable Profiles 47 \u53ca 344 \u7684 Windows 8\uff0c \u88c5\u6709 Xamarin \u7684 Android\/iOS \u3002<\/li>\n<li>Sho \u2014Sho \u662f\u6570\u636e\u5206\u6790\u548c\u79d1\u5b66\u8ba1\u7b97\u7684\u4ea4\u4e92\u5f0f\u73af\u5883\uff0c\u53ef\u4ee5\u8ba9\u4f60\u5c06\u811a\u672c\uff08IronPython \u8bed\u8a00\uff09\u548c\u7f16\u8bd1\u7684\u4ee3\u7801\uff08.NET\uff09\u65e0\u7f1d\u8fde\u63a5\uff0c\u4ee5\u5feb\u901f\u7075\u6d3b\u7684\u5efa\u7acb\u539f\u578b\u3002\u8fd9\u4e2a\u73af\u5883\u5305\u62ec\u5f3a\u5927\u9ad8\u6548\u7684\u5e93\uff0c\u5982\u7ebf\u6027\u4ee3\u6570\u3001\u6570\u636e\u53ef\u89c6\u5316\uff0c\u53ef\u4f9b\u4efb\u4f55 .NET \u8bed\u8a00\u4f7f\u7528\uff0c\u8fd8\u4e3a\u5feb\u901f\u5f00\u53d1\u63d0\u4f9b\u4e86\u529f\u80fd\u4e30\u5bcc\u7684\u4ea4\u4e92\u5f0f shell\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>Python<\/strong><br \/>\n<strong>\u8ba1\u7b97\u673a\u89c6\u89c9<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>SimpleCV\u2014\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u6846\u67b6\uff0c\u53ef\u4ee5\u8bbf\u95ee\u5982 OpenCV \u7b49\u9ad8\u6027\u80fd\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\u3002\u4f7f\u7528 Python \u7f16\u5199\uff0c\u53ef\u4ee5\u5728 Mac\u3001Windows \u4ee5\u53ca Ubuntu \u4e0a\u8fd0\u884c\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>NLTK \u2014\u4e00\u4e2a\u9886\u5148\u7684\u5e73\u53f0\uff0c\u7528\u6765\u7f16\u5199\u5904\u7406\u4eba\u7c7b\u8bed\u8a00\u6570\u636e\u7684 Python \u7a0b\u5e8f<\/li>\n<li>Pattern\u2014Python \u53ef\u7528\u7684 web \u6316\u6398\u6a21\u5757\uff0c\u5305\u62ec\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u673a\u5668\u5b66\u4e60\u7b49\u5de5\u5177\u3002<\/li>\n<li>TextBlob\u2014\u4e3a\u666e\u901a\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u63d0\u4f9b\u4e00\u81f4\u7684 API\uff0c\u4ee5 NLTK \u548c Pattern \u4e3a\u57fa\u7840\uff0c\u5e76\u548c\u4e24\u8005\u90fd\u80fd\u5f88\u597d\u517c\u5bb9\u3002<\/li>\n<li>jieba\u2014\u4e2d\u6587\u65ad\u8bcd\u5de5\u5177\u3002<\/li>\n<li>SnowNLP \u2014\u4e2d\u6587\u6587\u672c\u5904\u7406\u5e93\u3002<\/li>\n<li>loso\u2014\u53e6\u4e00\u4e2a\u4e2d\u6587\u65ad\u8bcd\u5e93\u3002<\/li>\n<li>genius \u2014\u57fa\u4e8e\u6761\u4ef6\u968f\u673a\u57df\u7684\u4e2d\u6587\u65ad\u8bcd\u5e93\u3002<\/li>\n<li>nut \u2014\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u5de5\u5177\u5305\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Bayesian Methods for Hackers \u2014Python \u8bed\u8a00\u6982\u7387\u89c4\u5212\u7684\u7535\u5b50\u4e66<\/li>\n<li>MLlib in Apache Spark\u2014Spark \u4e0b\u7684\u5206\u5e03\u5f0f\u673a\u5668\u5b66\u4e60\u5e93\u3002<\/li>\n<li>scikit-learn\u2014\u57fa\u4e8e SciPy \u7684\u673a\u5668\u5b66\u4e60\u6a21\u5757<\/li>\n<li>graphlab-create \u2014\u5305\u542b\u591a\u79cd\u673a\u5668\u5b66\u4e60\u6a21\u5757\u7684\u5e93\uff08\u56de\u5f52\uff0c\u805a\u7c7b\uff0c\u63a8\u8350\u7cfb\u7edf\uff0c\u56fe\u5206\u6790\u7b49\uff09\uff0c\u57fa\u4e8e\u53ef\u4ee5\u78c1\u76d8\u5b58\u50a8\u7684 DataFrame\u3002<\/li>\n<li>BigML\u2014\u8fde\u63a5\u5916\u90e8\u670d\u52a1\u5668\u7684\u5e93\u3002<\/li>\n<li>pattern\u2014Python \u7684 web \u6316\u6398\u6a21\u5757<\/li>\n<li>NuPIC\u2014Numenta \u516c\u53f8\u7684\u667a\u80fd\u8ba1\u7b97\u5e73\u53f0\u3002<\/li>\n<li>Pylearn2\u2014\u57fa\u4e8e Theano \u7684\u673a\u5668\u5b66\u4e60\u5e93\u3002<\/li>\n<li>hebel \u2014Python \u7f16\u5199\u7684\u4f7f\u7528 GPU \u52a0\u901f\u7684\u6df1\u5ea6\u5b66\u4e60\u5e93\u3002<\/li>\n<li>gensim\u2014\u4e3b\u9898\u5efa\u6a21\u5de5\u5177\u3002<\/li>\n<li>PyBrain\u2014\u53e6\u4e00\u4e2a\u673a\u5668\u5b66\u4e60\u5e93\u3002<\/li>\n<li>Crab \u2014\u53ef\u6269\u5c55\u7684\u3001\u5feb\u901f\u63a8\u8350\u5f15\u64ce\u3002<\/li>\n<li>python-recsys \u2014Python \u5b9e\u73b0\u7684\u63a8\u8350\u7cfb\u7edf\u3002<\/li>\n<li>thinking bayes\u2014\u5173\u4e8e\u8d1d\u53f6\u65af\u5206\u6790\u7684\u4e66\u7c4d<\/li>\n<li>Restricted Boltzmann Machines \u2014Python \u5b9e\u73b0\u7684\u53d7\u9650\u6ce2\u5c14\u5179\u66fc\u673a\u3002[\u6df1\u5ea6\u5b66\u4e60]\u3002<\/li>\n<li>Bolt \u2014\u5728\u7ebf\u5b66\u4e60\u5de5\u5177\u7bb1\u3002<\/li>\n<li>CoverTree \u2014cover tree \u7684 Python \u5b9e\u73b0\uff0cscipy.spatial.kdtree \u4fbf\u6377\u7684\u66ff\u4ee3\u3002<\/li>\n<li>nilearn\u2014Python \u5b9e\u73b0\u7684\u795e\u7ecf\u5f71\u50cf\u5b66\u673a\u5668\u5b66\u4e60\u5e93\u3002<\/li>\n<li>Shogun\u2014\u673a\u5668\u5b66\u4e60\u5de5\u5177\u7bb1\u3002<\/li>\n<li>Pyevolve \u2014\u9057\u4f20\u7b97\u6cd5\u6846\u67b6\u3002<\/li>\n<li>Caffe \u2014\u8003\u8651\u4e86\u4ee3\u7801\u6e05\u6d01\u3001\u53ef\u8bfb\u6027\u53ca\u901f\u5ea6\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6<\/li>\n<li>breze\u2014\u6df1\u5ea6\u53ca\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\u7684\u7a0b\u5e8f\u5e93\uff0c\u57fa\u4e8e Theano\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6570\u636e\u5206\u6790\/\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>SciPy \u2014\u57fa\u4e8e Python \u7684\u6570\u5b66\u3001\u79d1\u5b66\u3001\u5de5\u7a0b\u5f00\u6e90\u8f6f\u4ef6\u751f\u6001\u7cfb\u7edf\u3002<\/li>\n<li>NumPy\u2014Python \u79d1\u5b66\u8ba1\u7b97\u57fa\u7840\u5305\u3002<\/li>\n<li>Numba \u2014Python \u7684\u4f4e\u7ea7\u865a\u62df\u673a JIT \u7f16\u8bd1\u5668\uff0cCython and NumPy \u7684\u5f00\u53d1\u8005\u7f16\u5199\uff0c\u4f9b\u79d1\u5b66\u8ba1\u7b97\u4f7f\u7528<\/li>\n<li>NetworkX \u2014\u4e3a\u590d\u6742\u7f51\u7edc\u4f7f\u7528\u7684\u9ad8\u6548\u8f6f\u4ef6\u3002<\/li>\n<li>Pandas\u2014\u8fd9\u4e2a\u5e93\u63d0\u4f9b\u4e86\u9ad8\u6027\u80fd\u3001\u6613\u7528\u7684\u6570\u636e\u7ed3\u6784\u53ca\u6570\u636e\u5206\u6790\u5de5\u5177\u3002<\/li>\n<li>Open Mining\u2014Python \u4e2d\u7684\u5546\u4e1a\u667a\u80fd\u5de5\u5177\uff08Pandas web \u63a5\u53e3\uff09\u3002<\/li>\n<li>PyMC \u2014MCMC \u91c7\u6837\u5de5\u5177\u5305\u3002<\/li>\n<li>zipline\u2014Python \u7684\u7b97\u6cd5\u4ea4\u6613\u5e93\u3002<\/li>\n<li>PyDy\u2014\u5168\u540d Python Dynamics\uff0c\u534f\u52a9\u57fa\u4e8e NumPy\uff0c SciPy\uff0c IPython \u4ee5\u53ca matplotlib \u7684\u52a8\u6001\u5efa\u6a21\u5de5\u4f5c\u6d41\u3002<\/li>\n<li>SymPy \u2014\u7b26\u53f7\u6570\u5b66 Python \u5e93\u3002<\/li>\n<li>statsmodels\u2014Python \u7684\u7edf\u8ba1\u5efa\u6a21\u53ca\u8ba1\u91cf\u7ecf\u6d4e\u5b66\u5e93\u3002<\/li>\n<li>astropy \u2014Python \u5929\u6587\u5b66\u7a0b\u5e8f\u5e93\uff0c\u793e\u533a\u534f\u4f5c\u7f16\u5199<\/li>\n<li>matplotlib \u2014Python \u7684 2D \u7ed8\u56fe\u5e93\u3002<\/li>\n<li>bokeh\u2014Python \u7684\u4ea4\u4e92\u5f0f Web \u7ed8\u56fe\u5e93\u3002<\/li>\n<li>plotly \u2014Python and matplotlib \u7684\u534f\u4f5c web \u7ed8\u56fe\u5e93\u3002<\/li>\n<li>vincent\u2014\u5c06 Python \u6570\u636e\u7ed3\u6784\u8f6c\u6362\u4e3a Vega \u53ef\u89c6\u5316\u8bed\u6cd5\u3002<\/li>\n<li>d3py\u2014Python \u7684\u7ed8\u56fe\u5e93\uff0c\u57fa\u4e8e D3.js\u3002<\/li>\n<li>ggplot \u2014\u548cR\u8bed\u8a00\u91cc\u7684 ggplot2 \u63d0\u4f9b\u540c\u6837\u7684 API\u3002<\/li>\n<li>Kartograph.py\u2014Python \u4e2d\u6e32\u67d3 SVG \u56fe\u7684\u5e93\uff0c\u6548\u679c\u6f02\u4eae\u3002<\/li>\n<li>pygal\u2014Python \u4e0b\u7684 SVG \u56fe\u8868\u751f\u6210\u5668\u3002<\/li>\n<li>pycascading<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6742\u9879\u811a\u672c\/iPython \u7b14\u8bb0\/\u4ee3\u7801\u5e93<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>pattern_classification<\/li>\n<li>thinking stats 2<\/li>\n<li>hyperopt<\/li>\n<li>numpic<\/li>\n<li>2012-paper-diginorm<\/li>\n<li>ipython-notebooks<\/li>\n<li>decision-weights<\/li>\n<li>Sarah Palin LDA \u2014Sarah Palin \u5173\u4e8e\u4e3b\u9898\u5efa\u6a21\u7684\u7535\u90ae\u3002<\/li>\n<li>Diffusion Segmentation \u2014\u57fa\u4e8e\u6269\u6563\u65b9\u6cd5\u7684\u56fe\u50cf\u5206\u5272\u7b97\u6cd5\u96c6\u5408\u3002<\/li>\n<li>Scipy Tutorials \u2014SciPy \u6559\u7a0b\uff0c\u5df2\u8fc7\u65f6\uff0c\u8bf7\u67e5\u770b scipy-lecture-notes<\/li>\n<li>Crab\u2014Python \u7684\u63a8\u8350\u5f15\u64ce\u5e93\u3002<\/li>\n<li>BayesPy\u2014Python \u4e2d\u7684\u8d1d\u53f6\u65af\u63a8\u65ad\u5de5\u5177\u3002<\/li>\n<li>scikit-learn tutorials\u2014scikit-learn \u5b66\u4e60\u7b14\u8bb0\u7cfb\u5217<\/li>\n<li>sentiment-analyzer \u2014\u63a8\u7279\u60c5\u7eea\u5206\u6790\u5668<\/li>\n<li>group-lasso\u2014\u5750\u6807\u4e0b\u964d\u7b97\u6cd5\u5b9e\u9a8c\uff0c\u5e94\u7528\u4e8e\uff08\u7a00\u758f\uff09\u7fa4\u5957\u7d22\u6a21\u578b\u3002<\/li>\n<li>mne-python-notebooks\u2014\u4f7f\u7528 mne-python \u8fdb\u884c EEG\/MEG \u6570\u636e\u5904\u7406\u7684 IPython \u7b14\u8bb0<\/li>\n<li>pandas cookbook\u2014\u4f7f\u7528 Python pandas \u5e93\u7684\u65b9\u6cd5\u4e66\u3002<\/li>\n<li>climin\u2014\u673a\u5668\u5b66\u4e60\u7684\u4f18\u5316\u7a0b\u5e8f\u5e93\uff0c\u7528 Python \u5b9e\u73b0\u4e86\u68af\u5ea6\u4e0b\u964d\u3001LBFGS\u3001rmsprop\u3001adadelta \u7b49\u7b97\u6cd5\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>Kaggle \u7ade\u8d5b\u6e90\u4ee3\u7801<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>wiki challange \u2014Kaggle \u4e0a\u4e00\u4e2a\u7ef4\u57fa\u9884\u6d4b\u6311\u6218\u8d5b Dell Zhang \u89e3\u6cd5\u7684\u5b9e\u73b0\u3002<\/li>\n<li>kaggle insults\u2014Kaggle \u4e0a\u201d\u4ece\u793e\u4ea4\u5a92\u4f53\u8bc4\u8bba\u4e2d\u68c0\u6d4b\u8fb1\u9a82\u201c\u7ade\u8d5b\u63d0\u4ea4\u7684\u4ee3\u7801<\/li>\n<li>kaggle_acquire-valued-shoppers-challenge\u2014Kaggle \u9884\u6d4b\u56de\u5934\u5ba2\u6311\u6218\u8d5b\u7684\u4ee3\u7801<\/li>\n<li>kaggle-cifar \u2014Kaggle \u4e0a CIFAR-10 \u7ade\u8d5b\u7684\u4ee3\u7801\uff0c\u4f7f\u7528 cuda-convnet<\/li>\n<li>kaggle-blackbox \u2014Kaggle \u4e0a blackbox \u8d5b\u4ee3\u7801\uff0c\u5173\u4e8e\u6df1\u5ea6\u5b66\u4e60\u3002<\/li>\n<li>kaggle-accelerometer \u2014Kaggle \u4e0a\u52a0\u901f\u5ea6\u8ba1\u6570\u636e\u8bc6\u522b\u7528\u6237\u7ade\u8d5b\u7684\u4ee3\u7801<\/li>\n<li>kaggle-advertised-salaries \u2014Kaggle \u4e0a\u7528\u5e7f\u544a\u9884\u6d4b\u5de5\u8d44\u7ade\u8d5b\u7684\u4ee3\u7801<\/li>\n<li>kaggle amazon \u2014Kaggle \u4e0a\u7ed9\u5b9a\u5458\u5de5\u89d2\u8272\u9884\u6d4b\u5176\u8bbf\u95ee\u9700\u6c42\u7ade\u8d5b\u7684\u4ee3\u7801<\/li>\n<li>kaggle-bestbuy_big\u2014Kaggle \u4e0a\u6839\u636e bestbuy \u7528\u6237\u67e5\u8be2\u9884\u6d4b\u70b9\u51fb\u5546\u54c1\u7ade\u8d5b\u7684\u4ee3\u7801\uff08\u5927\u6570\u636e\u7248\uff09<\/li>\n<li>kaggle-bestbuy_small\u2014Kaggle \u4e0a\u6839\u636e bestbuy \u7528\u6237\u67e5\u8be2\u9884\u6d4b\u70b9\u51fb\u5546\u54c1\u7ade\u8d5b\u7684\u4ee3\u7801\uff08\u5c0f\u6570\u636e\u7248\uff09<\/li>\n<li>Kaggle Dogs vs. Cats \u2014Kaggle \u4e0a\u4ece\u56fe\u7247\u4e2d\u8bc6\u522b\u732b\u548c\u72d7\u7ade\u8d5b\u7684\u4ee3\u7801<\/li>\n<li>Kaggle Galaxy Challenge \u2014Kaggle \u4e0a\u9065\u8fdc\u661f\u7cfb\u5f62\u6001\u5206\u7c7b\u7ade\u8d5b\u7684\u4f18\u80dc\u4ee3\u7801<\/li>\n<li>Kaggle Gender \u2014Kaggle \u7ade\u8d5b\uff1a\u4ece\u7b14\u8ff9\u533a\u5206\u6027\u522b<\/li>\n<li>Kaggle Merck\u2014Kaggle \u4e0a\u9884\u6d4b\u836f\u7269\u5206\u5b50\u6d3b\u6027\u7ade\u8d5b\u7684\u4ee3\u7801\uff08\u9ed8\u514b\u5236\u836f\u8d5e\u52a9\uff09<\/li>\n<li>Kaggle Stackoverflow\u2014Kaggle \u4e0a \u9884\u6d4b Stack Overflow \u7f51\u7ad9\u95ee\u9898\u662f\u5426\u4f1a\u88ab\u5173\u95ed\u7ade\u8d5b\u7684\u4ee3\u7801<\/li>\n<li>wine-quality \u2014\u9884\u6d4b\u7ea2\u9152\u8d28\u91cf\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>Ruby<\/strong><br \/>\n<strong>\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Treat\u2014\u6587\u672c\u68c0\u7d22\u4e0e\u6ce8\u91ca\u5de5\u5177\u5305\uff0cRuby \u4e0a\u6211\u89c1\u8fc7\u7684\u6700\u5168\u9762\u7684\u5de5\u5177\u5305\u3002<\/li>\n<li>Ruby Linguistics\u2014\u8fd9\u4e2a\u6846\u67b6\u53ef\u4ee5\u7528\u4efb\u4f55\u8bed\u8a00\u4e3a Ruby \u5bf9\u8c61\u6784\u5efa\u8bed\u8a00\u5b66\u5de5\u5177\u3002\u5305\u62ec\u4e00\u4e2a\u8bed\u8a00\u65e0\u5173\u7684\u901a\u7528\u524d\u7aef\uff0c\u4e00\u4e2a\u5c06\u8bed\u8a00\u4ee3\u7801\u6620\u5c04\u5230\u8bed\u8a00\u540d\u7684\u6a21\u5757\uff0c\u548c\u4e00\u4e2a\u542b\u6709\u5f88\u6709\u82f1\u6587\u8bed\u8a00\u5de5\u5177\u7684\u6a21\u5757\u3002<\/li>\n<li>Stemmer\u2014\u4f7f\u5f97 Ruby \u53ef\u7528 libstemmer_c\u4e2d\u7684\u63a5\u53e3\u3002<\/li>\n<li>Ruby Wordnet \u2014WordNet \u7684 Ruby \u63a5\u53e3\u5e93\u3002<\/li>\n<li>Raspel \u2014aspell \u7ed1\u5b9a\u5230 Ruby \u7684\u63a5\u53e3<\/li>\n<li>UEA Stemmer\u2014UEALite Stemmer \u7684 Ruby \u79fb\u690d\u7248\uff0c\u4f9b\u641c\u7d22\u548c\u68c0\u7d22\u7528\u7684\u4fdd\u5b88\u7684\u8bcd\u5e72\u5206\u6790\u5668<\/li>\n<li>Twitter-text-rb\u2014\u8be5\u7a0b\u5e8f\u5e93\u53ef\u4ee5\u5c06\u63a8\u7279\u4e2d\u7684\u7528\u6237\u540d\u3001\u5217\u8868\u548c\u8bdd\u9898\u6807\u7b7e\u81ea\u52a8\u8fde\u63a5\u5e76\u63d0\u53d6\u51fa\u6765\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Ruby Machine Learning \u2014Ruby \u5b9e\u73b0\u7684\u4e00\u4e9b\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u3002<\/li>\n<li>Machine Learning Ruby<\/li>\n<li>jRuby Mahout \u2014\u7cbe\u534e\uff01\u5728 JRuby \u4e16\u754c\u4e2d\u91ca\u653e\u4e86 Apache Mahout \u7684\u5a01\u529b\u3002<\/li>\n<li>CardMagic-Classifier\u2014\u53ef\u7528\u8d1d\u53f6\u65af\u53ca\u5176\u4ed6\u5206\u7c7b\u6cd5\u7684\u901a\u7528\u5206\u7c7b\u5668\u6a21\u5757\u3002<\/li>\n<li>Neural Networks and Deep Learning\u2014\u300a\u795e\u7ecf\u7f51\u7edc\u548c\u6df1\u5ea6\u5b66\u4e60\u300b\u4e00\u4e66\u7684\u793a\u4f8b\u4ee3\u7801\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6570\u636e\u5206\u6790\/\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>rsruby \u2013 Ruby \u2013 R bridge<\/li>\n<li>data-visualization-ruby\u2014\u5173\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u7684 Ruby Manor \u6f14\u793a\u7684\u6e90\u4ee3\u7801\u548c\u652f\u6301\u5185\u5bb9<\/li>\n<li>ruby-plot \u2014\u5c06 gnuplot \u5305\u88c5\u4e3a Ruby \u5f62\u5f0f\uff0c\u7279\u522b\u9002\u5408\u5c06 ROC \u66f2\u7ebf\u8f6c\u5316\u4e3a svg \u6587\u4ef6\u3002<\/li>\n<li>plot-rb\u2014\u57fa\u4e8e Vega \u548c D3 \u7684 ruby \u7ed8\u56fe\u5e93<\/li>\n<li>scruffy \u2014Ruby \u4e0b\u51fa\u8272\u7684\u56fe\u5f62\u5de5\u5177\u5305<\/li>\n<li>SciRuby<\/li>\n<li>Glean\u2014\u6570\u636e\u7ba1\u7406\u5de5\u5177<\/li>\n<li>Bioruby<\/li>\n<li>Arel<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>Misc<\/strong><br \/>\n<strong>\u6742\u9879<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Big Data For Chimps\u2014\u5927\u6570\u636e\u5904\u7406\u4e25\u8083\u800c\u6709\u8da3\u7684\u6307\u5357\u4e66<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>R<\/strong><br \/>\n<strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Clever Algorithms For Machine Learning<\/li>\n<li>Machine Learning For Hackers<\/li>\n<li>Machine Learning Task View on CRAN\u2014R\u8bed\u8a00\u673a\u5668\u5b66\u4e60\u5305\u5217\u8868\uff0c\u6309\u7b97\u6cd5\u7c7b\u578b\u5206\u7ec4\u3002<\/li>\n<li>caret\u2014R\u8bed\u8a00 150 \u4e2a\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7684\u7edf\u4e00\u63a5\u53e3<\/li>\n<li>SuperLearner and subsemble\u2014\u8be5\u5305\u96c6\u5408\u4e86\u591a\u79cd\u673a\u5668\u5b66\u4e60\u7b97\u6cd5<\/li>\n<li>Introduction to Statistical Learning<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6570\u636e\u5206\u6790\/\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Learning Statistics Using R<\/li>\n<li>ggplot2\u2014\u57fa\u4e8e\u56fe\u5f62\u8bed\u6cd5\u7684\u6570\u636e\u53ef\u89c6\u5316\u5305\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>Scala<\/strong><br \/>\n<strong>\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>ScalaNLP\u2014\u673a\u5668\u5b66\u4e60\u548c\u6570\u503c\u8ba1\u7b97\u5e93\u7684\u5957\u88c5<\/li>\n<li>Breeze \u2014Scala \u7528\u7684\u6570\u503c\u5904\u7406\u5e93<\/li>\n<li>Chalk\u2014\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93\u3002<\/li>\n<li>FACTORIE\u2014\u53ef\u90e8\u7f72\u7684\u6982\u7387\u5efa\u6a21\u5de5\u5177\u5305\uff0c\u7528 Scala \u5b9e\u73b0\u7684\u8f6f\u4ef6\u5e93\u3002\u4e3a\u7528\u6237\u63d0\u4f9b\u7b80\u6d01\u7684\u8bed\u8a00\u6765\u521b\u5efa\u5173\u7cfb\u56e0\u7d20\u56fe\uff0c\u8bc4\u4f30\u53c2\u6570\u5e76\u8fdb\u884c\u63a8\u65ad\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u6570\u636e\u5206\u6790\/\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>MLlib in Apache Spark\u2014Spark \u4e0b\u7684\u5206\u5e03\u5f0f\u673a\u5668\u5b66\u4e60\u5e93<\/li>\n<li>Scalding \u2014CAscading \u7684 Scala \u63a5\u53e3<\/li>\n<li>Summing Bird\u2014\u7528 Scalding \u548c Storm \u8fdb\u884c Streaming MapReduce<\/li>\n<li>Algebird \u2014Scala \u7684\u62bd\u8c61\u4ee3\u6570\u5de5\u5177<\/li>\n<li>xerial \u2014Scala \u7684\u6570\u636e\u7ba1\u7406\u5de5\u5177<\/li>\n<li>simmer \u2014\u5316\u7b80\u4f60\u7684\u6570\u636e\uff0c\u8fdb\u884c\u4ee3\u6570\u805a\u5408\u7684 unix \u8fc7\u6ee4\u5668<\/li>\n<li>PredictionIO \u2014\u4f9b\u8f6f\u4ef6\u5f00\u53d1\u8005\u548c\u6570\u636e\u5de5\u7a0b\u5e08\u7528\u7684\u673a\u5668\u5b66\u4e60\u670d\u52a1\u5668\u3002<\/li>\n<li>BIDMat\u2014\u652f\u6301\u5927\u89c4\u6a21\u63a2\u7d22\u6027\u6570\u636e\u5206\u6790\u7684 CPU \u548c GPU \u52a0\u901f\u77e9\u9635\u5e93\u3002<\/li>\n<li><\/li>\n<\/ul>\n<p><strong>\u901a\u7528\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<ul class=\" list-paddingleft-2\">\n<li>Conjecture\u2014Scalding \u4e0b\u53ef\u6269\u5c55\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6<\/li>\n<li>brushfire\u2014scalding \u4e0b\u7684\u51b3\u7b56\u6811\u5de5\u5177\u3002<\/li>\n<li>ganitha \u2014\u57fa\u4e8e scalding \u7684\u673a\u5668\u5b66\u4e60\u7a0b\u5e8f\u5e93<\/li>\n<li>adam\u2014\u4f7f\u7528 Apache Avro, Apache Spark \u548c Parquet \u7684\u57fa\u56e0\u7ec4\u5904\u7406\u5f15\u64ce\uff0c\u6709\u4e13\u7528\u7684\u6587\u4ef6\u683c\u5f0f\uff0cApache 2 \u8f6f\u4ef6\u8bb8\u53ef\u3002<\/li>\n<li>bioscala \u2014Scala \u8bed\u8a00\u53ef\u7528\u7684\u751f\u7269\u4fe1\u606f\u5b66\u7a0b\u5e8f\u5e93<\/li>\n<li>BIDMach\u2014\u673a\u5668\u5b66\u4e60 CPU \u548c GPU \u52a0\u901f\u5e93.<\/li>\n<\/ul>\n<p>http:\/\/www.08kan.com\/gwk\/MzA4NjA4MTkzMw\/203089745\/1\/ca764aacc4c3601a8a608e219929ac1b.html<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u672c\u6587\u6c47\u7f16\u4e86\u4e00\u4e9b\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u6846\u67b6\u3001\u5e93\u4ee5\u53ca\u8f6f\u4ef6\uff08\u6309\u7f16\u7a0b\u8bed\u8a00\u6392\u5e8f\uff09\u3002 C++ \u8ba1\u7b97\u673a\u89c6\u89c9 CCV \u2014\u57fa\u4e8eC\u8bed\u8a00\/\u63d0\u4f9b\u7f13\u5b58\/\u6838\u5fc3\u7684\u673a\u5668\u89c6\u89c9\u5e93\uff0c\u65b0\u9896\u7684\u673a\u5668\u89c6\u89c9\u5e93 OpenCV\u2014\u5b83\u63d0\u4f9bC++\uff0c C, Python, Java \u4ee5\u53ca MATLAB \u63a5\u53e3\uff0c\u5e76\u652f\u6301 Windows, Linux\uff0c Android and Mac OS \u64cd\u4f5c\u7cfb\u7edf\u3002 \u901a\u7528\u673a\u5668\u5b66\u4e60 MLPack DLib ecogg shark Closure \u901a\u7528\u673a\u5668\u5b66\u4e60 Closure Toolbox\u2014Clojure \u8bed\u8a00\u5e93\u4e0e\u5de5\u5177\u7684\u5206\u7c7b\u76ee\u5f55 Go \u81ea\u7136\u8bed\u8a00\u5904\u7406 go-porterstemmer\u2014\u4e00\u4e2a Porter \u8bcd\u5e72\u63d0\u53d6\u7b97\u6cd5\u7684\u539f\u751f Go \u8bed\u8a00\u51c0\u5ba4\u5b9e\u73b0 paicehusk\u2014Paice\/Husk \u8bcd\u5e72\u63d0\u53d6\u7b97\u6cd5\u7684 Go \u8bed\u8a00\u5b9e\u73b0 snowball\u2014Go \u8bed\u8a00\u7248\u7684 Snowball \u8bcd\u5e72\u63d0\u53d6\u5668 \u901a\u7528\u673a\u5668\u5b66\u4e60 Go Learn\u2014 Go \u8bed\u8a00\u673a\u5668\u5b66\u4e60\u5e93 go-pr \u2014Go \u8bed\u8a00\u673a\u5668\u5b66\u4e60\u5305. bayesian\u2014Go \u8bed\u8a00\u6734\u7d20\u8d1d\u53f6\u65af\u5206\u7c7b\u5e93\u3002 go-galib\u2014Go 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