Pinned Repositories
BBF
BoostForest
Bootstrapping-Method
deepboost
DeepBoost.jl
deep boosting algorithm implementation in Julia
EvalAI-Starters
How to create a challenge on EvalAI?
hello-evalai
LearningX
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
MVBLS
Multi-view Broad Learning Systerm
PolishedCode_MachineLearning
This is a polished code example of my own implementation of a Coordinate Descent Algorithm with Elastic Net Regularization used for solving least-squares regression. This was done as part of my DATA 558 Machine Learning course at the University of Washington.
zhaochangming's Repositories
zhaochangming/MVBLS
Multi-view Broad Learning Systerm
zhaochangming/BoostForest
zhaochangming/LearningX
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
zhaochangming/BBF
zhaochangming/Bootstrapping-Method
zhaochangming/deepboost
zhaochangming/DeepBoost.jl
deep boosting algorithm implementation in Julia
zhaochangming/EvalAI-Starters
How to create a challenge on EvalAI?
zhaochangming/hello-evalai
zhaochangming/PolishedCode_MachineLearning
This is a polished code example of my own implementation of a Coordinate Descent Algorithm with Elastic Net Regularization used for solving least-squares regression. This was done as part of my DATA 558 Machine Learning course at the University of Washington.
zhaochangming/Py_test
测试
zhaochangming/smerge
zhaochangming/TrBoosting
zhaochangming/xlenet
A Python package to conduct regularized linear regression via Lasso, Ridge Regression and Elastic Net, implemented basically by numpy and acceleration including multi-processing, Cython and C++ code wrapped by Cython