runzeliuzh's repositories
newsreclib
PyTorch-Lightning Library for Neural News Recommendation
DivHGNN
Official code repo for TWEB paper "Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation"
machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
librec
LibRec: A Leading Java Library for Recommender Systems, see
news-recommendation
PyTorch implementations of several news recommendation methods, created for my MSc thesis in Artificial Intelligence at University of Amsterdam.
DKN
A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)
DSSA
Document Sequence with Subtopic Attention
recommenders
Best Practices on Recommendation Systems
newsrec
A collection of neural news recommendation methods built with PyTorch.
GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
ddia
《Designing Data-Intensive Application》DDIA中文翻译
DGCN
The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)
ptranking
Learning to Rank in PyTorch
machine-learning-exams
This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
LibRerank
LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EGRerank, Seq2Slate.
RankSys
Java 8 Recommender Systems framework for novelty, diversity and much more
Game-Programmer-Study-Notes
:anchor: 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.
deeplearning
深度学习相关的模型训练、评估和预测相关代码
latex-templates
A collection of LaTeX templates used for research, courses, and miscellanea.