Stars
Transformer implementation in PyTorch.
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
该仓库尝试整理推荐系统领域的一些经典算法模型
Pytorch domain library for recommendation systems
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
A framework for large scale recommendation algorithms.
recommend now (rec_now) 是一个推荐算法的基础库，目的在于简化推荐模型的开发。 本项目基于tensorflow2和python3实现，兼容使用tensorflow1.x API的[无量训练框架](https://git.woa.com/deep_learning_framework/NumerousTensorFlow)，并在生产环境中得到了充分验证。 其中，基于in-…
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
All Algorithms implemented in Python
Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Best Practices on Recommendation Systems
A high performance implementation of HDBSCAN clustering.
pyclustering is a Python, C++ data mining library.
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
A pytorch adversarial library for attack and defense methods on images and graphs
Graph Neural Network Library for PyTorch
Must-read papers on graph neural networks (GNN)