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awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-causality-data

A data index for learning causality.

benchmark

causal-learn

Causal Discovery for Python. Translation and extension of the Tetrad Java code.

causalmta

counterfactual-recurrent-network

Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bica, A. M. Alaa, J. Jordon, M. van der Schaar

dag-gnn

darnn

An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

dgsr

[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"

dien-origin

disenctr

The pytorch implementation of DisenCTR

dmin

dnamta

(ml) - multi touch attribution (dnn based) pipeline

fignn

global-attention-rnn

graphctr

This repo includes some graph-based CTR prediction models and other representative baselines.

graphsage

Representation learning on large graphs using stochastic graph convolutions.

interpretable-deep-model-mta

This is the project that developed for marketing attribution. It is an interpretable deep learning model for marketing problem.

jd-mta

Multi Touch Attribution: Simulation Code

lcat

lightgcn

mamba4rec

Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models

mimn

min

mind

Pytorch implementation of paper: Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

mlforhealthlabpub

Machine Learning and Artificial Intelligence for Medicine.

py-zhai

pytorch-fm

Factorization Machine models in PyTorch

pytorch_time2vec