HAHAHANIBAL

HAHAHANIBAL.github.io

AOC2017

deepbayes-2018

Seminars DeepBayes Summer School 2018

sublime-installer

A Sublime Text Editor Installer made in shell script for the 2.0.1 version

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

Euler_Project_Training

Some implementation written for future use

Quant_Training

alright alright alright

Twitter_API_Toy

Some twitter toy applications

ReplayParser

This is a advanced version of the Dota parser developed by Bruno@DotaAcademy. The first part of this program includes re-parse the replay data, make player statistics available for other usage, visualize statistics and provide a user GUI. The second part of this project would be machine learning for match winning rates by using SVM model.

Acfun_Classification

This is a crawl program I used to obtain user information and video information on Acfun. Classification can be implemented.

Random_R

Some R code to do time-series regressions

Image_Recovery

This is a MATLAB project I coded for image recovery. Linear Regression is used to bootstrap the pixels.

CD_Decomposition_Gaussian_Elim

Gaussian elimination and Cholesky decomposition implementation

LR_2

Logistic regression (Batch, Gradient, Normal) implementation in MATLAB

Logistic-Regression

Stochastic gradient descent LR

Naive-Bayes

Text mining to classify Economists news and Onion news. Naive Bayesian implementation practice

SVM

Improved Support Vector Machine in MATLAB. Some other functions included as well

Weka_Java_Implementation

Java codes to run data mining/machine learning in Weka

Support-Vector-Machine--MATLAB-

N-Dimensional SVM