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学生成绩管理分析系统
Segment 3D MRIs of the brain into anatomical regions
Graph Convolutional Neural Networks with Complex Rational Spectral Filters
四六级成绩可视化分析
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
deep learning for image processing including classification and object-detection etc.
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch
MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification
A list of all public EEG-datasets
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification and Demystification
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
EEG motor imagery classification using convolutional neural networks
基于MobileFaceNet的员工刷脸考勤
Graph Convolutional Networks for 4-class EEG Classification
Multilevel graph coarsening algorithm with spectral and cut guarantees
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
This framework helps the development of programs which use algorithms for graph partitioning, enabling information handling both in memory and in a graph database. It was designed to work with 2-way, k-way and multilevel algorithms, providing support to the algorithms to make use of the Neo4J database structures. This feature allows the implementa
the first step
A collection of LaTeX thesis templates and beyond (LaTeX/Word/Typst/Markdown等模板收藏,包括学位论文、演示文稿、简历等) ...
freshman
Imagined Speech Classification with Kara One Database
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.