kildallithro Goto Github PK

causal-learn

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

cause

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

decrs

Deconfounded Recommendation for Alleviating Bias Amplification

dice

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

expo-mf

Exposure Matrix Factorization: modeling user exposure in recommendation

gnn_note

图神经网络整理

hello-world1

this is my first repository.

hw_ml-2020-2021_1

hw_ml

lightgcn-pytorch

The PyTorch implementation of LightGCN

macr

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System, KDD 2021

neurec

Next RecSys Library

pcalg-py

Implement PC algorithm in Python | PC 算法的 Python 实现

pcic-2021

PCIC-2021-Causal-Inference

pcic2021-baselines

Some baselines for PCIC2021 Track 2: Causal Inference and Recommendation

pda

This is an implemention for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorflow..

recommender-system-with-tf2.0

Recurrence the recommender paper with Tensorflow2.0

simulation_variable_selection

slide_statistics_2020-2021_1

Slide_Statistics

tianchi-news

wxpy

微信机器人 / 可能是最优雅的微信个人号 API ✨✨