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Sixiang Hu's repositories

DataMan

R package for data cleaning, preliminary data analysis and modeling assessing with visualisation.

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circleD3

D3 Plot for R

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caffe

Caffe: a fast open framework for deep learning.

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investeR

Assets forecast and Portfolio optimisation

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lanyon-plus

Based on lanyon - A content-first, sliding sidebar theme for Jekyll. Demo at

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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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minimal-mistakes

:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

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rbokeh

R interface to Bokeh http://hafen.github.io/rbokeh/

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rdpwrap

RDP Wrapper Library

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RIntro

R Introduction Slides

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shinyMlr

shiny-mlr: Integration of the mlr package into shiny

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simpleblog

View blog here: http://brooksandrew.github.io/simpleblog

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vlmcsd

KMS Emulator in C (currently runs on Linux including Android, FreeBSD, Solaris, Minix, Mac OS, iOS, Windows with or without Cygwin)

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vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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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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