minghao2016 Goto Github PK

cs231n.github.io

Public facing notes page

cs_ccme_posts

公众号推送备份

cs_offer

计算机学科基础知识和主流编程语言相关内容的总结

csc-gromacs-workflow-workshop

csgo

R package to pull the CS Go data from the steam API

cshl-singlecell-2017

Single Cell Analysis course at Cold Spring Harbor Laboratory 2017

csml_notes

UCL MSc Computational Statistics and Machine Learning Revision Notes

csp

Spectral Clustering for Complex Graphs

cspp

A Tool for the Correlates of State Policy Project Data

ctpfrec

Python implementation of "Content-based recommendations with poisson factorization", with some extensions

cuda-convnet-for-hashing

started from Alex's code on google code

cuda.ml

R interface for cuML

cudart

My custom CUDA samples

cumf_als

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

cumf_sgd

CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)

cuml

cuML - RAPIDS Machine Learning Library

cur-matrix-decomposition

A matlab library for CUR matrix decomposition

curriculum-vitae

This is a latex template of my academic CV.

custodipaper

customer-segmentation-marketing

Implement K-means and Hierarchical clustering algorithms to segment customers in order to gain insight into shopping behaviors, analyze product affinity, measure marketing effectiveness, and better allocate future marketing spend.

customer_churn_prediction

零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结

cutadapt

Cutadapt removes adapter sequences from sequencing reads

cutemarked

Qt Markdown Editor

cutpointr

Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification

cutting_planes_l1_svm_and_cousins

cv

My CV built using R Markdown and the vitae package.

cvdrisk

This is the R code for our article "External validation and comparison of four cardiovascular risk prediction models with data from the Australian Diabetes, Obesity and Lifestyle study"

cvms

R Package: Cross-validate one or multiple gaussian or binomial regression models at once. Perform repeated cross-validation. Returns results in a tibble for easy comparison, reporting and further analysis.

cvopt

Machine learning's parameter search and feature selection module which is integrated log management and visualization.

cvrisk

R package to calculate cardiovascular risk scores