fanfannothing/vowpal_wabbit
John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm
Discovered public repositories for fanfannothing in the GitHub catalog.
John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm
a baidu-hi robot. (baidu web-hi 聊天机器人~~) 传说中的"小丫" # 开发已经迁移到公司内部. 请直接联系作者~
Python library for processing Chinese text
Classical equations and diagrams in machine learning
Old Mirror of Linus Torvald's Kernel Tree, see "linux" repo for current version
Word2Vec in C++ 11
A simple chinese word segmentation system with Java language.
Deep Learning and Applications--Demo
plsa demo in python
Image Classification using Bag of Words and Spatial Pyramid BoW
Matlab code for computing and visualization: Confusion Matrix, Precision/Recall, ROC, Accuracy, F-Measure etc. for Classification.
L_p-Regularized logistic regression using Gradient Decent (batch)
pagerank using mapreduce format
ROC and PR curve using R
Golang based machine learning lib
machine-learning
TextTeaser is an automatic summarization algorithm.
An API for Distributed Machine Learning
This code is the implementation of the method proposed in the paper “Multi-script text extraction from natural scenes” (Gomez & Karatzas) to appear in ICDAR2013 conference.
Linear and logistic regression in Python with no dependencies on Scipy/Numpy.
Linear Regression problem comes under Supervised Learning, in which you try to predict some real value output on the basis of historical data.
Config files for vim and tmux.
Public repository.
Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python
Deep Learning Tutorial notes and code. See the wiki for more info.
A Machine Learning library based on Theano
Implementation of some deep learning algorithms.
Deep Learning (Python, C/C++, Java)
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.
A python tool used for download coursera's videos and subtitles.
Public repository.
C++ implementation of the Brown word clustering algorithm.
An implementation of Maximum Entropy model
Maximum Entropy Modeling Toolkit for Python and C++
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 ;)
Lightweight MapReduce in python
Source Code for the book: Machine Learning in Action published by Manning
dbscan for clustering written in py
Public repository.
An unsupervised learning algorithm that applies back propagation, setting the target values to be equal to the inputs. Also, we impose a sparsity constraint on the hidden units, then the autoencoder will still discover interesting structure in the data, even if the number of hidden units is large.
Implementation of PCA, PCA whitening and ZCA whitening in 2D
Implementation of PCA and ZCA whitening, and applying them to image patches taken from natural images.
In Self-taught learning and Unsupervised feature learning, we will give our algorithms a large amount of unlabeled data with which to learn a good feature representation of the input.
SparseAutoEncoder - Unsupervised Learning
RESTful search server built on top of Sphinx full-text search engine. Uses realtime indexes, Django, Nginx & Redis.
Web mining module for Python
Public repository.
a web crawler
Code accompanying the book "Machine Learning for Hackers"
using c++ code to show the example of machine learning