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afn-aaai-20

Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions

ai-recommendersystem

该仓库尝试整理推荐系统领域的一些经典算法模型

aitiaexplorer

Causal discovery and causal inference tool.

asu-dissertation-template

LaTeX Template for Typesetting Arizona State University Dissertations and Theses

attentional_factorization_machine

TensorFlow Implementation of Attentional Factorization Machine

autofis

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-causality-data

A data index for learning causality.

awesome-multi-task-learning

2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

awesome-php

A curated list of amazingly awesome PHP libraries, resources and shiny things.

awesome-recsys

This Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems

bnlearn

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

bptf

Bayesian Poisson tensor factorization

caffe

Caffe: a fast open framework for deep learning.

candidate-selection-tutorial

SIGIR 2017 Candidate Selection Tutorial (http://sigir.org/sigir2017/program/tutorials/#candidate)

canm

This code provide the CANM algorithim for causal discovery. Please cite "Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao. Causal Discovery with Cascade Nonlinear Additive Noise Models. IJCAI 2019."

castle

CASTLE (Causal Structure Learning) regularization

causal-learn

Python translation (and extension) of the Tetrad java code.

causal-learner

causal-recsys-public

causalgraphicalmodels

Causal Graphical Models in Python

causality

causality-1

Notes, exercises and other materials related to causal inference, causal discovery and causal ML.

causality4rec_paperlist

This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.

causalml

Uplift modeling and causal inference with machine learning algorithms

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

cause

Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

cevae

Causal Effect Inference with Deep Latent-Variable Models

cfm

communitydetection

CSE 573 Project - Hidden Community Detection