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classification_nets

Implement popular models by different DL framework. Such as tensorflow and caffe

clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

climf

collaborative less-is-more filtering

cloud9

Cloud9 is a Hadoop toolkit for working with big data

conjecture

Scalable Machine Learning in Scalding

conjugate_gradient

Simple implementation of a non-linear conjugate gradient optimization routine in c

convergence-analysis

convergence speed of some optimzation algorithm (such as stochastic gradient descent, steepest gradient descent and LBFGS ) on logistic regression problem

coursera-download

cppnumericalsolvers

L-BFGS-B implementation in C++11 using Eigen

cs231n-2015

Convolutional Neural Networks Assignments

cs231n-2016

Convolutional Neural Networks for Visual Recognition in Stanford

ctr_prediction

papers related to ctr prediction, resources, test codes on toy problems.

cv

CV, typesetted in Helvetica Neue, using XeTeX, TikZ and Biblatex

cvxopt

CVXOPT -- Python Software for Convex Optimization

d3c

集成分类器

data-structures-and-algorithms-in-python

my solutions to the exercises in book Data Structures and Algorithms in Python

datacomb

An interactive tool for exploring large, tabular datasets.

deep-ctr

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

deep-learning-paper-list

deepface

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

deepinterestnetwork

deeplearning

Deep Learning (Python, C/C++, Java)

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

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.

delta-simrank

Calculate SimRank for a Networkx graph using the Delta Simrank method within MapReduce framework

densitypeakcluster

A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.

difacto

Distributed Factorization Machines and LR with ps-lite

display-advertising-challenge

Criteo/Kaggle Competition of CTR prediction

distributed_word_embedding

Distributed word embedding