duweifu/spark
Mirror of Apache Spark
Developer Profile
duweifu
Discovered public repositories for duweifu in the GitHub catalog.
duweifu/babun
Babun - a Windows shell you will love!
duweifu/spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
duweifu/MachineLearning
some machine learning algorithm I implemented before.
duweifu/Python-Neural-Network
A pure python implementation of a neural network.
duweifu/ufldl_tutorial
Stanford Unsupervised Feature Learning and Deep Learning Tutorial
duweifu/translators
Zotero Translators
duweifu/Word2VecExample
An example application using Word2Vec. Given a list of words, it finds the one which isn't 'like' the others - a typical language understanding evaluation task.
duweifu/sentence2vec
Tools for mapping a sentence with arbitrary length to vector space
duweifu/xits-math
XITS - OpenType implementation of STIX fonts with math support
duweifu/cv
CV, typesetted in Helvetica Neue, using XeTeX, TikZ and Biblatex
duweifu/FlappyBirdRL
Flappy Bird hack using Reinforcement Learning
duweifu/flappy-bird
Flappy Bird Browser Game Phaser framework
duweifu/spf13-vim
The ultimate vim distribution
duweifu/data-tools
File format conversion tools
duweifu/json2csv
command line tool to convert json to csv
duweifu/csvkit
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
duweifu/xml2json
Convert an XML input to a JSON output, using xml-mapping
duweifu/data-science-toolbox
A collection of command-line tools that facilitate the obtaining, scrubbing, and exploring of data.
duweifu/jekyll_demo
Public repository.
duweifu/storm
Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more
duweifu/svinet
This package implements algorithms for identifying overlapping communities in large undirected networks. The sampling based algorithms derive from stochastic variational inference under the (assortative) mixed-membership stochastic blockmodel. For details see the following reference: http://www.pnas.org/content/early/2013/08/14/1221839110.full.pdf
duweifu/Spoon-Knife
This repo is for demonstration purposes only. Comments and issues may or may not be responded to.