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PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)
Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)
A framework for large scale recommendation algorithms.
The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
Best Practices on Recommendation Systems
来自一位 Pythonista 的编程经验分享，内容涵盖编码技巧、最佳实践与思维模式等方面。
Code for paper: Learning to Build User-tag Profile in Recommendation System
Implementation of Graph Convolutional Networks in TensorFlow
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
通用深度学习推理工具，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。
Representation learning on large graphs using stochastic graph convolutions.
Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
A Multi-View DSSM for Recommendation System with tensorflow estimator.
The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.
Simple Tensorflow Cookbook for easy-to-use
2020腾讯广告算法大赛 Top5 solution. https://algo.qq.com/
A curated list of network embedding techniques.
This is a implementation of SDNE (Structural Deep Network embedding)
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
Deep Match to Rank Model for Personalized Click-Through Rate Prediction