chanhou Goto Github PK

kaggle-2014-criteo

kgraph

A library for k-nearest neighbor search

libsvm

mapreduce_python

sample code of map reduce design pattern with udacity intro. to hadoop and mapreduce exercise and Book of map reduce design pattern

matlabfunc

Matlab codes for feature learning

megaman

megaman: Manifold Learning for Millions of Points

mf-transfer

MD hw3, MF for transfer learning

micro8

Gitbook

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

ml_hw

mlds_2015

Machine Learning having it Deep and Structure

mpld3

D3 Renderings of Matplotlib Graphics

my-ctf-web-challenges

Collection of CTF Web challenges I made

mygemm

Code appendix to an OpenCL matrix-multiplication tutorial

neural-turing-machines

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

ntu-homeworks

Homeworks

ntuml_final

opencl_dnn

A vanilla prototype of using openCL to implement a simple DNN without predict and optimization.

pacmanctf

parallel2016

parallel 2016 class

parallel_2015

poeem

A library for end-to-end learning of embedding index and retrieval model

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pydata_talk

slide for pydata : intro to deep and theano

refactoringkata

refine-client-debug

refine-client-py

The OpenRefine Python Client Library provides an interface to communicating with an OpenRefine server.

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

rmkkm

Robust Multiple Kernel K-means using L21-norm

simple_dqn

Simple deep Q-learning agent.