Stars
Lightweight Denoising and Aligning Multi-modal Recommender System
Code of MTGCN model for the paper "Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing"
RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.
A unified, comprehensive and efficient recommendation library
This is a repository of public data sources for Recommender Systems (RS).
A reading list for papers on causality for natural language processing (NLP)
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
A PyTorch Library for Meta-learning Research
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
A curated list of Generative Recommender Systems (Paper & Code)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A Toolkit for Neural Review-based Recommendation models with Pytorch.
Datasets for extracting urban functional regions using location-based social network data
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.