runzeliuzh Goto Github PK

accdiv-via-graphconv

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

allrank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

controllable-multi-objective-reranking

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

ddia

《Designing Data-Intensive Application》DDIA中文翻译

deeplearning

深度学习相关的模型训练、评估和预测相关代码

dgcn

The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)

diversity

divhgnn

Official code repo for TWEB paper "Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation"

dkn

A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

dssa

Document Sequence with Subtopic Attention

free-programming-books

:books: Freely available programming books

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.

glory

gnn-recommender-systems

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

latex-templates

A collection of LaTeX templates used for research, courses, and miscellanea.

librec

LibRec: A Leading Java Library for Recommender Systems, see

listnet_chainer

a Chainer implementation of "Learning to rank: from pairwise approach to listwise approach" by Cao et al..

m2div

machine-learning

:earth_americas: machine learning tutorials (mainly in Python3)

machine-learning-exams

This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.

news-recommendation

PyTorch implementations of several news recommendation methods, created for my MSc thesis in Artificial Intelligence at University of Amsterdam.

nlp_project

projectpensive

ptranking

Learning to Rank in PyTorch

ranksys

Java 8 Recommender Systems framework for novelty, diversity and much more

recommenders

Best Practices on Recommendation Systems

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.