cuikaihui Goto Github PK
Name: CuiKaiHui
Type: User
Company: Northeastern University
Bio: student of Northeastern University in China
Location: NO. 3-11, Wenhua Road, Heping District, Shenyang, P. R. China
Blog: https://www.neu.edu.cn/
Name: CuiKaiHui
Type: User
Company: Northeastern University
Bio: student of Northeastern University in China
Location: NO. 3-11, Wenhua Road, Heping District, Shenyang, P. R. China
Blog: https://www.neu.edu.cn/
😎 Awesome lists about all kinds of interesting topics
吴恩达老师的机器学习课程个人笔记
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
A collection of various deep learning architectures, models, and tips
✔️李沐 【动手学深度学习】课程学习笔记:使用pycharm编程,基于pytorch框架实现。
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
GNN综述阅读报告
Must-read papers on graph neural networks (GNN)
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
An implementation of "Graph Structural-topic Neural Network"
PyTorch implementation of the InfoNCE loss for self-supervised learning.
【Java工程师面试复习指南】本仓库涵盖大部分Java程序员所需要掌握的核心知识,整合了互联网上的很多优质Java技术文章,力求打造为最完整最实用的Java开发者学习指南,如果对你有帮助,给个star告诉我吧,谢谢!
计算机学报 LaTeX 模板
Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"
Unsupervised Feature Learning via Non-parametric Instance Discrimination
The code commitment repository for the Linux course of LNU.
Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"
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。
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
《机器翻译:统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
PyGCL: A PyTorch Library for Graph Contrastive Learning
准研一自学python,代码存储
LSTM and CNN sentiment analysis
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.