A Real-World Benchmark for Reinforcement Learning based Recommender System

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)

[EMNLP'2024] "XRec: Large Language Models for Explainable Recommendation"

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

A list of awesome papers and resources of recommender system on large language model (LLM).

A unified, comprehensive and efficient recommendation library

A Toolkit for Neural Review-based Recommendation models with Pytorch.

Rating prediction models

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

PyTorch implementations of Generative Adversarial Networks.

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

A Transferability-guided Protein-Ligand Interaction Prediction Method

A novel method that quantitatively evaluates the impact of PLM in PLI predictions.

deep learning for image processing including classification and object-detection etc.

[ECCV 2022] FashionViL: Fashion-Focused V+L Representation Learning

Learning Semantic Relationship among Instances for Image-Text Matching, CVPR, 2023

An unofficial implementation of the CVPR 2020 paper Multimodal Categorization of Crisis Events in Social Media

MA-BERT Learning Representation by Incorporating Multi-Attribute Knowledge in Transformers

Yelp Review Rating Prediction

The code and data for our paper "Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation".

The official GitHub page for the survey paper "A Survey of Large Language Models".