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awesome-causality-algorithms

An index of algorithms for learning causality with data

cause

This is the implementation of changed CausE

cerec

cngcf

This is the implementation of Causal Neural Graph Collaborative Filtering

doc_reorganize

问题描述： 根据文件后缀名,对文件进行分类，生成的文件设定朔源名称xxx.xxx.test.py etc.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

homepage

this is the homepage

kgpolicy

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

my_homepage

This is the repo for my homepage

neo4j

pytorchcml

PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.

recommendersystems

rs-dpgans

This is our implementation for Privacy-Preserving Remote Sensing Image Generation andClassification with Differentially Private GANs

spider

spotlight

Deep recommender models using PyTorch.

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

walden

最适合东半球同学使用的文档助手

walle-web

walle - 瓦力 Devops开源项目代码部署平台