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abtest-learn

A/B Testing Frameworks

accppr

acmin

Effective and Scalable Clustering on Massive Attributed Graphs

ad_response_tutorial

This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attribution models. By applying these methods to the same (synthetic) data set, users will learn how the methods compare. We also illustrate the data manipulation that is required to prepare typical raw advertising dat

agao21_script

agenda

agp-approximate_graph_propagation

Approximate Graph Propagation

aile

Automatic Item List Extraction

allvec

Batch IS NOT Heavy: Learning Word Representations From All Samples

alphalens

Performance analysis of predictive (alpha) stock factors

antico

arb-nucleus-decomp

art-forum-2017-stan-tutorial

Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017

arviz

Exploratory analysis of Bayesian models with Python

attentional_factorization_machine

TensorFlow Implementation of Attentional Factorization Machine

autoscraper

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

awesome-community-detection

A curated list of community detection research papers with implementations.

awesome-network-analysis

A curated list of awesome network analysis resources.

azure-cosmos-tla

Azure Cosmos TLA+ specifications

bandit-reco

banditlib

Library of contextual bandits algorithms

bayes_course_2022

Probabilistic Programming and Bayesian Computing with PyMC

bayesianmnist

A hello world Bayesian Neural Network project on MNIST

biclustlib

A Python library of biclustering algorithms, evaluation measures and datasets.

bidirectional-random-walk

Random Walk (Personalized PageRank) Algorithms for Large Graphs

bigclam

Implements the bigCLAM algorithm

bigclam-apachespark

Overlapping community detection in Large-Scale Networks using BigCLAM model build on Apache Spark

blob

Source code for our paper "BLOB: a probabilistic model for recommendation that combines organic and bandit signals" published at KDD 2020.

bpr

Experiments codes for WWW 2018 Poster paper "An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data "

bpr-1

Bayesian Personalized Ranking using PyTorch