Pinned Repositories
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
caffe
Caffe: a fast open framework for deep learning.
cmrg
Implementation of Calibrated Multivariate Regression with Grossly Corrupted Observations
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.
mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
palmr-SPD
Multivariate Regression with Gross Errors on Manifold-valued Data
transduction_digraphs
Implementations of algorithms for transduction on directed graphs via absorbing random walks
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
zhangxw87.github.io
Zhang Xiaowei's personal website
zhangxw87's Repositories
zhangxw87/palmr-SPD
Multivariate Regression with Gross Errors on Manifold-valued Data
zhangxw87/transduction_digraphs
Implementations of algorithms for transduction on directed graphs via absorbing random walks
zhangxw87/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
zhangxw87/caffe
Caffe: a fast open framework for deep learning.
zhangxw87/cmrg
Implementation of Calibrated Multivariate Regression with Grossly Corrupted Observations
zhangxw87/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.
zhangxw87/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
zhangxw87/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
zhangxw87/zhangxw87.github.io
Zhang Xiaowei's personal website