登录
首页 » Python » 机器学习框架techstar-ai-master

机器学习框架techstar-ai-master

于 2019-02-24 发布 文件大小:133KB
0 214
下载积分: 1 下载次数: 0

代码说明:

  一种大数据机器学习框架的源代码,techstar-ai(The source code of a large data machine learning framework, techstar-ai)

文件列表:

techstar-ai-master, 0 , 2018-02-24
techstar-ai-master\LICENSE, 7651 , 2018-02-24
techstar-ai-master\README.md, 755 , 2018-02-24
techstar-ai-master\classifiers, 0 , 2018-02-24
techstar-ai-master\classifiers\.gitignore, 0 , 2018-02-24
techstar-ai-master\classifiers\EnhancedClassifier.2014.js, 18462 , 2018-02-24
techstar-ai-master\classifiers\EnhancedClassifier.2015.js, 23762 , 2018-02-24
techstar-ai-master\classifiers\EnhancedClassifier.js, 18462 , 2018-02-24
techstar-ai-master\classifiers\bayesian, 0 , 2018-02-24
techstar-ai-master\classifiers\bayesian\LICENSE, 1178 , 2018-02-24
techstar-ai-master\classifiers\bayesian\README.md, 221 , 2018-02-24
techstar-ai-master\classifiers\bayesian\backends, 0 , 2018-02-24
techstar-ai-master\classifiers\bayesian\backends\localStorage.js, 2055 , 2018-02-24
techstar-ai-master\classifiers\bayesian\backends\memory.js, 949 , 2018-02-24
techstar-ai-master\classifiers\bayesian\bayesian.js, 7619 , 2018-02-24
techstar-ai-master\classifiers\decisiontree, 0 , 2018-02-24
techstar-ai-master\classifiers\decisiontree\DecisionTree.js, 4834 , 2018-02-24
techstar-ai-master\classifiers\decisiontree\DecisionTreeDemo.js, 463 , 2018-02-24
techstar-ai-master\classifiers\index.js, 1286 , 2018-02-24
techstar-ai-master\classifiers\kNN, 0 , 2018-02-24
techstar-ai-master\classifiers\kNN\kNN.js, 4092 , 2018-02-24
techstar-ai-master\classifiers\multilabel, 0 , 2018-02-24
techstar-ai-master\classifiers\multilabel\Adaboost.js, 4507 , 2018-02-24
techstar-ai-master\classifiers\multilabel\BinaryRelevance.js, 8048 , 2018-02-24
techstar-ai-master\classifiers\multilabel\BinaryRelevanceDemo.js, 1823 , 2018-02-24
techstar-ai-master\classifiers\multilabel\BinarySegmentation.js, 12792 , 2018-02-24
techstar-ai-master\classifiers\multilabel\CrossLangaugeModelClassifier.js, 5173 , 2018-02-24
techstar-ai-master\classifiers\multilabel\Homer.js, 11429 , 2018-02-24
techstar-ai-master\classifiers\multilabel\MetaLabeler.js, 4828 , 2018-02-24
techstar-ai-master\classifiers\multilabel\MulticlassSegmentation.js, 7415 , 2018-02-24
techstar-ai-master\classifiers\multilabel\PartialClassification.js, 3864 , 2018-02-24
techstar-ai-master\classifiers\multilabel\PassiveAggressiveHash.js, 6927 , 2018-02-24
techstar-ai-master\classifiers\multilabel\ThresholdClassifier.js, 7036 , 2018-02-24
techstar-ai-master\classifiers\multilabel\index.js, 934 , 2018-02-24
techstar-ai-master\classifiers\multilabel\multilabelutils.js, 1877 , 2018-02-24
techstar-ai-master\classifiers\neural, 0 , 2018-02-24
techstar-ai-master\classifiers\neural\NeuralNetwork.js, 659 , 2018-02-24
techstar-ai-master\classifiers\perceptron, 0 , 2018-02-24
techstar-ai-master\classifiers\perceptron\PerceptronHash.js, 5971 , 2018-02-24
techstar-ai-master\classifiers\svm, 0 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmJs.js, 2610 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmJsDemo.js, 583 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmLinear.js, 9965 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmLinearDemo.js, 1196 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmLinearMulticlassDemo.js, 1850 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmPerf.js, 6416 , 2018-02-24
techstar-ai-master\classifiers\svm\SvmPerfDemo.js, 928 , 2018-02-24
techstar-ai-master\classifiers\svm\svmcommon.js, 3374 , 2018-02-24
techstar-ai-master\classifiers\svm\tempfiles, 0 , 2018-02-24
techstar-ai-master\classifiers\svm\tempfiles\.gitignore, 3 , 2018-02-24
techstar-ai-master\classifiers\winnow, 0 , 2018-02-24
techstar-ai-master\classifiers\winnow\WinnowHash.js, 9913 , 2018-02-24
techstar-ai-master\classifiers\winnow\WinnowHashDemo.js, 631 , 2018-02-24
techstar-ai-master\features, 0 , 2018-02-24
techstar-ai-master\features\CollectionOfExtractors.js, 922 , 2018-02-24
techstar-ai-master\features\FeatureLookupTable.js, 4155 , 2018-02-24
techstar-ai-master\features\HypernymExtractor.js, 2097 , 2018-02-24
techstar-ai-master\features\LowerCaseNormalizer.js, 273 , 2018-02-24
techstar-ai-master\features\NGramsFromArray.js, 595 , 2018-02-24
techstar-ai-master\features\NGramsOfLetters.js, 845 , 2018-02-24
techstar-ai-master\features\NGramsOfWords.js, 384 , 2018-02-24
techstar-ai-master\features\README.md, 217 , 2018-02-24
techstar-ai-master\features\RegexpNormalizer.js, 1041 , 2018-02-24
techstar-ai-master\features\RegexpSplitter.js, 1104 , 2018-02-24
techstar-ai-master\features\index.js, 1158 , 2018-02-24
techstar-ai-master\formats, 0 , 2018-02-24
techstar-ai-master\formats\arff.js, 4255 , 2018-02-24
techstar-ai-master\formats\index.js, 132 , 2018-02-24
techstar-ai-master\formats\json.js, 488 , 2018-02-24
techstar-ai-master\formats\svmlight.js, 1393 , 2018-02-24
techstar-ai-master\formats\tsv.js, 444 , 2018-02-24
techstar-ai-master\index.js, 156 , 2018-02-24
techstar-ai-master\package.json, 811 , 2018-02-24
techstar-ai-master\test, 0 , 2018-02-24
techstar-ai-master\test\classifiersTest, 0 , 2018-02-24
techstar-ai-master\test\classifiersTest\BayesianWithFeatureExtractorTest.js, 3069 , 2018-02-24
techstar-ai-master\test\classifiersTest\DecisionTreeTest.js, 1009 , 2018-02-24
techstar-ai-master\test\classifiersTest\NeuralWithFeatureExtractorTest.js, 2328 , 2018-02-24
techstar-ai-master\test\classifiersTest\NeuralWithNormalizerTest.js, 2810 , 2018-02-24
techstar-ai-master\test\classifiersTest\NeuralWithSpellCheckerTest.js, 2157 , 2018-02-24
techstar-ai-master\test\classifiersTest\PerceptronTest.js, 1125 , 2018-02-24
techstar-ai-master\test\classifiersTest\SvmJsTest.js, 1882 , 2018-02-24
techstar-ai-master\test\classifiersTest\SvmMulticlassTest.js, 3458 , 2018-02-24
techstar-ai-master\test\classifiersTest\SvmTest.js, 3312 , 2018-02-24
techstar-ai-master\test\classifiersTest\WinnowExampleTest.js, 2206 , 2018-02-24
techstar-ai-master\test\classifiersTest\WinnowTest.js, 2241 , 2018-02-24
techstar-ai-master\test\classifiersTest\bayesian, 0 , 2018-02-24
techstar-ai-master\test\classifiersTest\bayesian\sync.js, 2584 , 2018-02-24
techstar-ai-master\test\classifiersTest\bayesian\thresholds.js, 1618 , 2018-02-24
techstar-ai-master\test\classifiersTest\kNNTest.js, 3100 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel, 0 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\AdaboostTest.js, 1172 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\BinaryRelevanceBayesTest.js, 3318 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\BinaryRelevanceWinnowTest.js, 5467 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\ClassifierWithSplitterTest.js, 2228 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\HomerBinaryRelevanceWinnowTest.js, 9110 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\MetaLabelerLanguageModelTest.js, 3576 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\MetaLabelerSvmTest.js, 4320 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\MetaLabelerWinnowTest.js, 4707 , 2018-02-24
techstar-ai-master\test\classifiersTest\multilabel\MulticlassSegmentationBayesTest.js, 3195 , 2018-02-24

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • location
    python开发的demo,实现将地理数据从高德坐标转换为wgs84坐标(Conversion of Goethe coordinates to WGS84 coordinates)
    2020-06-20 21:20:02下载
    积分:1
  • learn
    说明:  解非线性方程组,使用python语言,两种方法解决非线性方程组,对比分析性能(Solving the non-linear equations, using Python language, two methods to solve the non-linear equations, comparative analysis of performance)
    2020-06-23 21:00:01下载
    积分:1
  • final4
    复杂网络,航线网络分析建模,失效分析,鲁棒性,networkx(Complex network, route network analysis modeling)
    2012-10-30 10:32:37下载
    积分:1
  • Python核心
    python 核心编程的pdf,需要的下载吧(Core programming of python)
    2017-09-16 18:52:19下载
    积分:1
  • GRB2网格预报数据发布影像服务
    说明:  arcpy arcgis server 自动发布grib2气象网格数据(arcpy arcgis server Automatic publishing of meteorological grid data)
    2020-06-24 19:00:01下载
    积分:1
  • BP-NN
    说明:  BP神经网络算法,自动分析误差,参数迭代生成(BP neural network algorithm, automatic error analysis, iterative parameter generation)
    2020-07-04 00:00:28下载
    积分:1
  • cuda-convnet-master
    基于GPU的 ,深度学习,Python代码(Based on GPU, deep learning, Python Code)
    2015-11-06 20:24:26下载
    积分:1
  • MyNotepad
    小型文本文档的编译程序,可供初级学习Python语言的伙伴,作参考联系使用,仅供参考,(Compilers for small text documents can be used as reference links for beginner Python language learners only.)
    2018-11-30 10:02:10下载
    积分:1
  • scienceData
    说明:  cctv7科技苑爬虫项目,insert-mysql(CCTV7 reptile project, insert-mysql)
    2020-06-18 15:40:02下载
    积分:1
  • Python
    用Python实现了网页数据的抓取,网页动态图的浮现,字体颜色大小的改变,网页数据爬取,制作相关网页,用表格体现,并改变了表格的风格,(Python is used to capture web page data, the emergence of dynamic graph, the change of font size, the crawl of web page data, the production of relevant web pages, which are represented by tables, and the style of tables is changed.)
    2020-06-24 10:20:02下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载