Pinned Repositories
ADMM
Solving Statistical Optimization Problems Using the ADMM Algorithm
blockchain_book
blog
blog content for joegaotao.github.io
cn
中文博客
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
GMC
code for JASA2012 paper "Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond".
highDim
record my summary about learning the theory of high dimension
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
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.
rSVD
Randomized Matrix Decompositions using R
joegaotao's Repositories
joegaotao/highDim
record my summary about learning the theory of high dimension
joegaotao/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
joegaotao/cn
中文博客
joegaotao/GMC
code for JASA2012 paper "Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond".
joegaotao/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
joegaotao/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.
joegaotao/rSVD
Randomized Matrix Decompositions using R
joegaotao/ADMM
Solving Statistical Optimization Problems Using the ADMM Algorithm
joegaotao/blockchain_book
joegaotao/blog
blog content for joegaotao.github.io
joegaotao/conformal
joegaotao/conversation
joegaotao/cosx.org
统计之都主站
joegaotao/cvxpy
A Python-embedded modeling language for convex optimization problems.
joegaotao/dotfiles
My dotfiles
joegaotao/iml
iml: interpretable machine learning R package
joegaotao/joegaotao.github.io
joegaotao/keras
Deep Learning for humans
joegaotao/r-data-practice
R语言数据操作练习
joegaotao/shap
A unified approach to explain the output of any machine learning model.
joegaotao/tensorGM
Learning Guassian (or non-Gaussian) Graphical model for vector, matrix or tensor data
joegaotao/tsfeatures
Time series features