Bojan-Zhang

Bojan-Zhang's Stars

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java146k4.5k1k45.5k

• ClickHouse/ClickHouse

  ClickHouse® is a real-time analytics DBMS

  Language:C++37.2k69121.4k6.8k

• huihut/interview

  📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

  Language:C++34.7k863638k

• wangzhiwubigdata/God-Of-BigData

  专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...

  9.7k33203.1k

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.6k43851.1k

• chaozh/MIT-6.824

  Basic Sources for MIT 6.824 Distributed Systems Class

  Language:Go3.1k8211624

• aditya-grover/node2vec

  Language:Scala2.6k63101913

• ClickHouse/clickhouse-java

  ClickHouse Java Clients & JDBC Driver

  Language:Java1.4k54962530

• mymarilyn/clickhouse-driver

  ClickHouse Python Driver with native interface support

  Language:Python1.2k26343213

• gusye1234/LightGCN-PyTorch

  The PyTorch implementation of LightGCN

  Language:Python849639224

• YannDubs/disentangling-vae

  Experiments for understanding disentanglement in VAE latent representations

  Language:Python7921424144

• analyticalmindsltd/smote_variants

  A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

  Language:Jupyter Notebook6301535137

• zalandoresearch/pytorch-vq-vae

  PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

  Language:Jupyter Notebook525810100

• xingzhexiaozhu/MovieRecommendation

  UserCF和ItemCF协同过滤推荐算法的实现

  Language:Python511159213

• yzongyue/6.824-golabs-2020

  MIT 6.824 2020

  Language:Go4153993

• huangtinglin/NGCF-PyTorch

  PyTorch Implementation for Neural Graph Collaborative Filtering

  Language:Python28341576

• singgel/BIGDATA_LINE

  《hadoop权威指南》、《大数据架构师指南》、《大数据之路：阿里巴巴大数据实践》《Apache+Kylin权威指南》

  19160101

• AaronHeee/Neural-Attentive-Item-Similarity-Model

  TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

  Language:Python1493848

• NewFuture/NKThesis

  南开大学硕士毕业论文/博士论文模板 (Latex Template for Nankai University)

  Language:TeX12972845

• lileipisces/PEPLER

  TOIS'23, Personalized Prompt Learning for Explainable Recommendation

  Language:Python1222820

• dd1github/DeepSMOTE

  Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".

  Language:Python10331030

• meiqinggao/interview-docs

  Java知识学习总结+源码阅读笔记。MySQL实战45讲,多线程和JVM知识总结，，SpringBoot，SpringCloud，Storm系列，微信小程序开发，ELK,《JAVA核心技术36讲笔记》，《深入理解JVM虚拟机笔记》,《高性能MySQL笔记》，《数据结构与算法》等等

  Language:Java772041

• mickeysjm/TaxoExpan

  The source code used for self-supervised taxonomy expansion method TaxoExpan, published in WWW 2020

  Language:Python7571118

• PaperFly-web/2022-Destruction-of-fresh-graduates

  2022毁约应届生公司名单

  75205

• nhtsai/graph-rec

  Senior Capstone Project: Graph-Based Product Recommendation

  Language:Jupyter Notebook411211

• blindsubmission1/PEAGNN

  Official code for the paper "Leveraging the Metapath and Entity Aware Subgraphs for Recommendation"

  Language:Python401511

• xhcgit/LightGCN-implicit-DGL

  Language:Python25213

• cchen23/ctp

  Inducing Taxonomic Knowledge from Pretrained Transformers

  Language:Python12423

• zOUMINGXI/-

  处理MOOCCubeX数据集以及所有相关事项

  Language:Python1110

• AdaCheng/Product_Taxonomy_Expansion

  Code for Learning What you Need from What You Did: Product Taxonomy Expansion with User Behavior Supervision

  Language:Python8100