tmacmilan/ksupport
Code for the machine learning methods described in: M. B. Blaschko, A Note on k-support Norm Regularized Risk Minimization. arXiv:1303.6390, 2013.
Developer Profile
tmacmilan
Discovered public repositories for tmacmilan in the GitHub catalog.
tmacmilan/spgl1
A solver for large-scale sparse reconstruction
tmacmilan/L1-homotopy
Codes related to L1-norm minimization using homotopy
tmacmilan/hector
Golang machine learning lib
tmacmilan/MyMediaLite
recommender system library for the CLR (.NET)
tmacmilan/MovieTweetings
A Movie Rating Dataset Collected From Twitter
tmacmilan/textteaser
TextTeaser is an automatic summarization algorithm.
tmacmilan/PG_DEEP
Deep Learning and Applications--Demo
tmacmilan/ltp-cloud-sdk
LTP Cloud SDK
tmacmilan/PG_BOW_DEMO
Public repository.
tmacmilan/Rdbn
Fast code to learn deep belief networks in R.
tmacmilan/wukong
高度可定制的全文搜索引擎
tmacmilan/Projects
Trying to complete over 100 projects in various categories in Python. Fork to learn any new language.
tmacmilan/zh-google-styleguide
Google 开源项目风格指南 (中文版)
tmacmilan/learning_ml_python_code
my personal learning code
tmacmilan/plsa-2
a probabilistic latent semantic analysis model in matlab programming
tmacmilan/RecSys
The algorithms about Recommender System, such as PMF, PLSA, ALS, RBM and so on.
tmacmilan/Plsa-1
Probabilistic latent semantic analysis
tmacmilan/PLSA
PLSA implementation via EM algorithm
tmacmilan/hadoop-book
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White
tmacmilan/sticigui
SticiGui online statistics text
tmacmilan/myRproj
一些关于R使用的练习和想法
tmacmilan/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming in data analysis with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
tmacmilan/coursera
Script for downloading Coursera.org videos and naming them.
tmacmilan/LDAGibbsSampling
yangliuy's implementation for Gibbs Sampling of LDA
tmacmilan/pattern
Web mining module for Python
tmacmilan/DeepLearnToolbox
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.
tmacmilan/LDA-1
Latent Dirichlet Allocation
tmacmilan/lda
Latent Dirichlet Allocation for Topic Modelling
tmacmilan/lda-ruby
A Ruby wrapper for Latent Dirichlet Allocation (LDA).
tmacmilan/pyLDA
an implemetation of LDA in Python, from Heinrich's paper : http://www.arbylon.net/publications/text-est.pdf
tmacmilan/Yahoo_LDA
Yahoo!'s topic modelling framework using Latent Dirichlet Allocation
tmacmilan/networkx
Official NetworkX source code repository.
tmacmilan/pdf2htmlEX
Convert PDF to HTML without losing text or format.
tmacmilan/clickme
From R to JS in a single line: Render JavaScript visualizations using R objects
tmacmilan/minitools
minitools
tmacmilan/DeepLearning
Deep Learning (Python, C/C++, Java)
tmacmilan/MachineLearning-C---code
using c++ code to show the example of machine learning
tmacmilan/ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
tmacmilan/Hello-World
This your first repo!
tmacmilan/facebook-data-mining
Facebook Data Mining