yulin1998 Goto Github PK
Name: Yulin1998
Type: User
Company: Sichuan University
Bio: Keep Fool
Location: Chengdu, Sichuan, China
Name: Yulin1998
Type: User
Company: Sichuan University
Bio: Keep Fool
Location: Chengdu, Sichuan, China
DBNet文本检测模型
Python package built to ease deep learning on graph, on top of existing DL frameworks.
PyTorch implementation of the (Variational) Graph Auto-Encoder model in T. N. Kipf, M. Welling, [Variational Graph Auto-Encoders](https://arxiv.org/abs/1611.07308), NIPS Workshop on Bayesian Deep Learning (2016)
PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
The PyTorch implementation of LightGCN
《统计学习方法》的代码实现
Flask框架部署模型
How Powerful are Graph Neural Networks?
official implementation for the paper "Simplifying Graph Convolutional Networks"
这是一个孪生神经网络(Siamese network)的库,可进行图片的相似性比较。
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.