《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

Paper List for Recommend-system PreTrained Models

A LaTeX template for writting application to National Science Fund for Distinguished Young Scholars

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LibRec: A Leading Java Library for Recommender Systems, see

Next RecSys Library

A highly-modularized and recommendation-efficient recommendation library based on PyTorch.

Existing Literature about Machine Unlearning

A library for optimization on Riemannian manifolds

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

Paper list of NLP for recommender systems

Recommender Learning with Tensorflow2.x

This is our Tensorflow implementation for "Social Collaborative Mutual Learning for Item Recommendation" (SCML) TKDD 2020.

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

Code for our CIKM 2018 paper titled "ANR: Aspect-based Neural Recommender"

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Basket-Sensitive Personalized Ranking for Product Recommendation

Hierarchical Gating Networks for Sequential Recommendation

Position-aware Graph Neural Networks

Paper Lists for Graph Neural Networks

official implementation for the paper "Simplifying Graph Convolutional Networks"

The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"

Implementation of the RecWalk recommendation algorithm

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.