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cmfrec

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

co-with-gnns-example

cofactor

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

colinucb

colinucb_revised

collaborativefilteringv3

TimeSVD++ model: Recommender system using Matrix Factorization techniques, while utilize temporal models to extend models accuracy.

communitydetectioncodes

Some overlapping community detection algorithms (Until 2016). by Yulin Che (https://github.com/CheYulin) for the PhD qualification exam (survey on community detection algorithms)

communityevaluation

A framework for evaluating community mining algorithms.

conmf

Co-regularized Non-negative Matrix Factorization

content_wmf

Content-aware weighted matrix factorization

contextual-gaussian-process-bandit-optimization

Simple implementation of the CGP-UCB algorithm.

contextualbandits

Python implementations of contextual bandits algorithms

conversion

Because you're computing conversion rates wrong

convoys

Implementation of statistical models to analyze time lagged conversions

correlation-approximation

Spark implementation of the Google Correlate algorithm to quickly find highly correlated vectors in huge datasets

countly-server

This is the home for Countly Mobile & Web Analytics and Marketing Platform. Countly helps you collect data and understand insights of your application. Available self-hosted or on private cloud.

customer-analytics

This repo hosts the course content of Customer Analytics, taught at Tilburg University by George Knox last taught Fall 2021.

customer_segmentation

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

danmf

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

deepclustering

Methods and Implements of Deep Clustering

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

demon

DEMON: a local-first discovery method for overlapping communities.

diffnet

Graph Neural Network based Social Recommendation Model. SIGIR2019.

digital-marketing-analytics

This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics

distributed-graph-analytics

Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX. The analytics included are High Betweenness Set Extraction, Weakly Connected Components, Page Rank, Leaf Compression, and Louvain Modularity.

distributed_clustering_thrill_evaluation

Jupyter Notebooks to analyse the results of the experimental evaluation of https://github.com/kit-algo/distributed_clustering_thrill

doc-han-att

Hierarchical Attention Networks for Chines Sentiment Classification

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

drtlaplus

Dr. TLA+ series - learn an algorithm and protocol, study a specification