mingli-ai Goto Github PK
Type: User
Company: Zhejiang Normal University
Bio: Deep Learning, Randomized Learning Techniques, Graph Neural Networks, Recommender System, Applied and Computational Harmonic Analysis
Type: User
Company: Zhejiang Normal University
Bio: Deep Learning, Randomized Learning Techniques, Graph Neural Networks, Recommender System, Applied and Computational Harmonic Analysis
The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems
Papers about developing deep Graph Neural Networks (GNNs)
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)
A collection of important graph embedding, classification and representation learning papers with implementations.
Collection of papers relating data-driven higher-order graph/networks researches.
Awesome Incremental Learning
Repository for benchmarking graph neural networks
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A list of contrastive Learning papers
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Pytorch版代码幻灯片
Pytorch implementation for Deep Knowledge tracing
Implementation of Deep Learning based Recommender Algorithms with Tensorflow.
PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
deep knowledge tracing / tensorflow implement
The Model Zoo of Cognitive Diagnosis Models, including classic Item Response Ranking (IRT), Multidimensional Item Response Ranking (MIRT), Deterministic Input, Noisy "And" model(DINA), and advanced Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), Neural Cognitive Diagnosis Model (NCDM) and Item Response Ranking framework (IRR).
Edudata: Datasets in Education and convenient interface for downloading and preprocessing dataset in education
The Model Zoo of Knowledge Tracing Models
Pytorch implementation of various Attention Mechanism
Fast Vector Spherical Harmonic Transforms
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Implementation of Graph Convolutional Networks in TensorFlow
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
GNN-based Recommendation
An index of recommendation algorithms that are based on Graph Neural Networks.
links to conference publications in graph-based deep learning
Graph Convolutional Networks (GCNs)
This repo is for hosting our GNN book titled "Graph Neural Networks: Foundations, Frontiers, and Applications".
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.