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🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Repository for benchmarking graph neural networks
对各类图书资源的收集。大量计算机、AI方面书籍。
This is our implementation of GHCF: Graph Heterogeneous Collaborative Filtering (AAAI 2021)
图神经网络相关算法详述及实现
An index of recommendation algorithms that are based on Graph Neural Networks.
Must-read papers on graph neural networks (GNN)
《深入浅出图神经网络:GNN原理解析》配套代码
[WSDM'2023] "Heterogeneous Graph Contrastive Learning for Recommendation"
本文原文由知名 Hacker Eric S. Raymond 所撰寫,教你如何正確的提出技術問題並獲得你滿意的答案。
:monkey:LeetCode、剑指Offer刷题笔记(C/C++、Python3实现)
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Papers on Graph neural network(GNN)
Benchmark datasets, data loaders, and evaluators for graph machine learning
This repository contains some datasets that I have collected in Recommender Systems.
An open-source framework for self-supervised recommender systems.
A playbook for systematically maximizing the performance of deep learning models.
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.