Michael Zhang's repositories
LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
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xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
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science_rcn
Reference implementation of a two-level RCN model
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fast_rgf
Multi-core implementation of Regularized Greedy Forest
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dl4j-examples
forkDeeplearning4j Examples 官方0.8版本。在上面加上批注，学习备忘
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distribution-demo
java分布式协作的demo
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