lijinhui/genie
Hadoop Platform as a Service
Discovered public repositories for lijinhui in the GitHub catalog.
Hadoop Platform as a Service
Azkaban scheduler re-written from the ground up.
A fully asynchronous, non-blocking, thread-safe, high-performance HBase client.
Geospatial database for the cloud
Public repository.
Python module for time series data in Redis and Mongo
Source code to accompany the book "Hadoop in Practice", published by Manning.
旨在搜集国内外各种 C++11 的学习资源,供大家参考、学习。
Public repository.
Open-source library for scalable in-database analytics.
scalding powered machine learning
RTBkit: a real-time bidder framework
NOTE: THIS REPO IS JUST A COPY. The upstream repo of HandlerSocket has been moved to https://github.com/DeNA/HandlerSocket-Plugin-for-MySQL .
Public repository.
Proof of concept latex symbol classifier
A library of Restricted Boltzmann Machines
Tutorial on scikit-learn and IPython for parallel machine learning
bag of words + sparsenn
Interactive Programming Notebook for the Web Browser
Abstract Algebra for Scala
An extension to the core Scala library for functional programming.
A Scala API for Cascading
A Python wrapper for Cascading
Config files for vim and tmux.
Fast multi-keyword search engine for text strings
Public repository.
Fast code to learn deep belief networks in R.
Public repository.
kdd cup 2013 track1 code
a python library for doing approximate and phonetic matching of strings.
Secondary Index for HBase
A Graphical Terminal Interface that extends xterm by adding GUI-like features and session sharing
Pattern recognition and machine learning toolbox
deep belief network toolbox written in Matlab, including algorithms of unsupervised feature learning, deep learning, and general machine learning
A platform for visualization and real-time monitoring of data workflows
Open Source Biometric Recognition
A simple HTTP message queue server
KDD CUP 2013 - Track 1 - 2nd place model
solution of our team Dmitry&Leustagos for Amazon competition (3rd place)
Amazon Employee Access Challenge
Solutions for the book: Cracking the coding interview V4. Written in C++.
Modular Restricted Boltzmann Machine (RBM) implementation using Theano
Public repository.
A set of simple Python scripts for pre-processing large files
Implementation of some deep learning algorithms.
Deep learning made easy
C++ library for neural networks.
Interactive JS Charts from R
Kaggle Blue Book for Bulldozers Competition
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 ;)