shengguanwsu Goto Github PK
Type: User
Bio: Sheng Guan is a PhD student at Case Western Reserve University (Transferred from Washington State University)
Type: User
Bio: Sheng Guan is a PhD student at Case Western Reserve University (Transferred from Washington State University)
Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.
A Unified View on Graph Neural Networks as Graph Signal Denoising
Advanced Deep Learning with Keras, published by Packt
Code of our paper "Attribute Graph Neural Networks for Strict Cold Start Recommendation" accepted by TKDE 2020.
最完整的AI算法面试题目仓库,1000道,25个类目
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
This is for graduate course Cpts515_WSU
Preview of the textbook Algorithms for Decision Making
总结算法刷题套路,在线阅读:
Mavenized AMIE+Typing
🧑🏫 50! 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, ... 🧠
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
Mining Association Rules and Frequent Itemsets with R
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
Backbones refer to critical tree structures that span a set of nodes of interests. Attributed backbones capture dynamics in edge cost model and it specifies affinitive attributes for each edge.
Attributed graph datasets with ground truth clusters
A collection of the most important Github repos for ML, AI & Data science practitioners
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
The most cited deep learning papers
resources for graph convolutional networks (图卷积神经网络相关资源)
Adversarial attacks and defenses on Graph Neural Networks.
Papers about explainability of GNNs
A curated list of resources for Learning with Noisy Labels
A curated list for awesome self-supervised learning for graphs.
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.