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Codes for WWW 2022 paper [Attentively Dual Transfer Motivation-Aware Interaction Representation for Cross-Domain Recommendation]
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
算法岗知识点、面经
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。
Code for our CIKM 2018 paper titled "ANR: Aspect-based Neural Recommender"
Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks
The implementation of SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng and Aixin Sun
pytorch templete
Pytorch implementation of DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
a deepFM model using MXNET
An implementation of a deep learning recommendation model (DLRM)
An Embedding and Mapping framework for Cross-Domain Recommendation.
实现功能有多线程下载、断点下载、多任务并行下载、显示下载进度及下载速度等功能,亲测下载速度能与UC浏览器相媲美。
🚀 fullstack tutorial 2021,后台技术栈/架构师之路/全栈开发社区,春招/秋招/校招/面试
This is the model in "A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation" (IJCAI2020). GA-DTCDR is an optimized model for DTCDR ("DTCDR: A Framework for Dual-Target Cross-Domain Recommendation" in CIKM2019).
包含机器学习、深度学习、图像处理、c++等视觉算法岗面试必备基础知识
2021年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"
LeetCode刷题记录与面试整理
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
MVIN: Learning Multiview Items for Recommendation, SIGIR 2020
This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
The implementation of "Cross-Domain Recommendation via Preference Propagation GraphNet“, Cheng Zhao, Chenliang Li, Cong Fu, https://doi.org/10.1145/3357384.3358166
Scripts for processing stack exchange data dump
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.