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Pyod Public
Forked from yzhao062/pyodA Python Toolkit for Outlier Detection (Anomaly Detection)
Python BSD 2-Clause "Simplified" License UpdatedJul 25, 2018 -
tinygbt Public
Forked from lancifollia/tinygbtA Tiny, Pure Python implementation of Gradient Boosted Trees.
Python UpdatedJul 15, 2018 -
FMA: A Dataset For Music Analysis
Jupyter Notebook MIT License UpdatedApr 25, 2018 -
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pyLightGBM Public
Forked from ArdalanM/pyLightGBMPython binding for Microsoft LightGBM
Jupyter Notebook Other UpdatedFeb 21, 2017 -
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Kaggle Public
Forked from SudalaiRajkumar/KaggleCodes for Kaggle Competitions
Jupyter Notebook UpdatedNov 24, 2016 -
TianChi-Industry4.0-Competition Public
Forked from wepe/TianChi-Industry4.0-Competition1st Place Solution for TianChi-Industry4.0-Competition
Python UpdatedOct 21, 2016 -
aliMusic Public
Forked from wangqingbaidu/aliMusic天池阿里音乐流行趋势预测大赛
Python GNU General Public License v3.0 UpdatedSep 8, 2016 -
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tianchi-2015-7-1 Public
Forked from leilux/tianchi-2015-7-1阿里移动推荐算法大赛
Jupyter Notebook UpdatedJul 26, 2016 -
libffm Public
Forked from ycjuan/libffmC++ BSD 3-Clause "New" or "Revised" License UpdatedMar 14, 2016 -
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rtbkit Public
Forked from rtbkit/rtbkitRTBkit is a real-time bidder framework designed for use on advertising exchanges such as the Rubicon Project, Nexage, App Nexus, The Google Ad Exchange and others.
C++ Apache License 2.0 UpdatedAug 12, 2015 -
tianchi_bigdata Public
Forked from yanshengli/tianchi_bigdata阿里2015年天池大数据比赛，采用移动窗口采样加随机森林学习
Python UpdatedAug 2, 2015 -
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Kaggle-Solution Public
Forked from wepe/Kaggle-SolutionSolution Code for Kaggle Competition
Python UpdatedMay 11, 2015 -
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awesome-machine-learning Public
Forked from josephmisiti/awesome-machine-learningA curated list of awesome Machine Learning frameworks, libraries and software.
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display-advertising-challenge Public
Forked from songgc/display-advertising-challengeCriteo/Kaggle Competition of CTR prediction
Java MIT License UpdatedOct 7, 2014 -
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QuestionAnsweringSystem Public
Forked from ysc/QuestionAnsweringSystemQuestionAnsweringSystem是一个Java实现的人机问答系统，能够自动分析问题并给出候选答案。
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