non-knife's Stars
QikaiXu/Recommender-System-Pytorch
基于 Pytorch 实现推荐系统相关的算法
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
learnables/learn2learn
A PyTorch Library for Meta-learning Research
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
shenweichen/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Yixiaohan/show-me-the-code
Python 练习册,每天一个小程序
Fafa-DL/Lhy_Machine_Learning
李宏毅2021/2022/2023春季机器学习课程课件及作业
datawhalechina/fun-rec
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
Feiyang/MetaEmbedding
Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library
RUCAIBox/Awesome-RSPapers
Recommender System Papers
jackfrued/Python-100-Days
Python - 100天从新手到大师
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
wolfkin-hth/Recommender-systems-paper
Paper and notes of Recommender systems.
hongleizhang/RSPapers
RSTutorials: A Curated List of Must-read Papers on Recommender System.
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
python-pillow/Pillow
Python Imaging Library (Fork)
magic-wormhole/magic-wormhole
get things from one computer to another, safely
recommenders-team/recommenders
Best Practices on Recommendation Systems