liyanghua/nanocube
Public repository.
Discovered public repositories for liyanghua in the GitHub catalog.
Public repository.
Framework and Library for Distributed Online Machine Learning
Public repository.
The Deep Learning training framework on Spark
Efficient implementation of Generative Stochastic Networks
Neural data analysis with the Spark cluster computing framework
Bayesian Personalized Ranking
Dirichlet Process Gaussian Mixture Models
Word2Vec in C++ 11
TextTeaser is an automatic summarization algorithm.
Public repository.
Collection of various python utilities, recipes, and "gutted" components of other projects.
C++ implementation of the Brown word clustering algorithm.
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 ;)
Fast code to learn deep belief networks in R.
Behemoth is an open source platform for large scale document analysis based on Apache Hadoop.
Official mirror of the Myrrix open source recommender's Subversion repository
Fast clustering Expectation Maximization algorithm for Gaussian Mixture Models.
Script for downloading Coursera.org videos and naming them.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Web mining module for Python
Hadoop MapReduce training of modified Kneser-Ney smoothed language models
Data-Intensive Text Processing with MapReduce
a python implementation of plsa
Simhashing in C++
ConceptNet: a semantic network of common sense knowledge
Ebot, an Opensource Web Crawler built on top of a nosql database (apache couchdb, riak), AMQP database (rabbitmq), webmachine and mochiweb. Ebot is written in Erlang and it is a very scalable, distribuited and highly configurable web cawler. See wiki pages for more details
A Python implementation of binary regularized logistic regression with stochastic gradient descent, packaged as scripts for use with Hadoop streaming
A locality-sensitive hashing library
An implementation of latent Dirichlet allocation in javascript
Public repository.
Public repository.
Public repository.
Label Propagation based Community Detection algorithm implemented using multiprocessing module in python (Please have a look at my other project LPMR, which implement much more scalable code using hadoop, I am no longer developing this code )
Reddit community detection and clustering project (for Dr. Qian's Machine Learning class)
Erlang/OTP
TokuDB is a high-performance, transactional storage engine for MariaDB
Tachyon
Public repository.
Deep Learning Tutorial notes and code. See the wiki for more info.
Deep Learning (Python, C/C++, Java)
lightweight, multi-purpose library of recommender system algorithms
Public repository.
My Collection of Machine Learning Code
R functions for fitting latent factor models with internal computation in C/C++
A simple and fast discriminative sequence labeling toolkit ( http://wapiti.limsi.fr )
A python library for implementing a recommender system
C++ 11 implementation of Geoff Hinton's Deep Learning matlab code
Yahoo!'s topic modelling framework using Latent Dirichlet Allocation
Yet another Cache