kaikaizhao Goto Github PK

application_materials_for_phd

This repository contains my CV, personal statement, writing samples, transcripts, test scores, research&work experiences, etc.

awesome-ai-books

Some awesome AI related books and pdfs for learning

c.github.io

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

capsnet-pytorch

Pytorch implementation for NIPS2017 paper `Dynamic Routing Between Capsules`

cvxpy

A Python-embedded modeling language for convex optimization problems.

data-driven

dcc

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

deep-admm-net

divide-and-conquer_slim_convex_clustering

This repository contains our demo code and some empirical results for the DC3 algorithm.

doubly_stochastic_gradients

Code for doubly stochastic gradients

falkon_paper

FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"

gluon-tutorials-zh

通过MXNet/Gluon来动手学习深度学习

gp_cholqr

code for "Efficient Optimization for Sparse Gaussian Process Regression"

graph-analytics-project

This repository contains the code to reproduce a course project. This course is Graph Analytics offered by Ariful Azad who is a helpful and reliable professor.

hep-2_cell_classification

This repository is my research experience on medical image analysis. Specially, this work is to classify HEp-2 cell, i.e. Laryngeal cancer classification. Our datasets are from ICPR2012 and ICPR2014 competition.

intro_ds

Code to accompany Mastering Data Science from PT press

kaikai.github.io

Kaikai Zhao's website

kay_info

Some notes

learning-theory-and-probability-graphical-model

I take this course in the Spring 2019 semester. Some notes about this course.

learningkernelswithrandomfeatures

Experiments Matlab Implementation in "Learning Kernels with RandomFeatures"(NIPS2016)

lmkkmeans

Localized Multiple Kernel k-Means Clustering

machine_learning_notes

networklasso

prmlt

Matlab code for machine learning algorithms in book PRML

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydata-notebook

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

randombinning

Random Binning Method for Large-Scale Kernel Machine

revrand

A library of scalable Bayesian generalised linear models with fancy features