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Name: Xin Dong
Type: User
Company: Sichuan University (四川大学)
Bio: Ph.D. Student in Power System Stability.
Twitter: real_destinyxin
Location: Chengdu, Sichuan Province, China
Name: Xin Dong
Type: User
Company: Sichuan University (四川大学)
Bio: Ph.D. Student in Power System Stability.
Twitter: real_destinyxin
Location: Chengdu, Sichuan Province, China
Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis 🔥
An experimental open-source attempt to make GPT-4 fully autonomous.
This project is for learning and researching on DRL. This area is so hot that everyday we can see new ideas happen. I would like to give an explicit landscape for deep rl, one reason is for better understanding existed methods and theoretical results, the other is to seek potential developments based on these findings. Any suggestion/improvement is
A Library for Awesome-Deep Transfer Reinforcement Learning
Awesome things about domain generalization, including papers, code, etc.
A curated list of papers, code and resources pertaining to zero shot learning
唐诗、宋词生成器,有详细说明
This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
A collection of implementations of deep domain adaptation algorithms
This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和预测,持续更新)
GPT-powered chat for documentation, chat with your documents
Deep Reinforcement Learning
Measurement-Driven Diagnostics of Mechanism and Source of Subsynchronous Oscillations in Power Systems with Renewable Power Generation
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Generalizing to unseen domains via distribution matching
Implementation of Graph Convolutional Networks in TensorFlow
Dev tool that writes scalable apps from scratch while the developer oversees the implementation
Grok open release
Crawl & visualize ICLR papers and reviews.
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification, IEEE TIP, 2023.
🌻 This is a tutorial of IntelliJ IDEA, you can know how to use IntelliJ IDEA better and better.
Book about interpretable machine learning
🤡 Personal Profile
《李宏毅深度学习教程》,PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Evolutionary multi-objective optimization platform
Graph Convolutional Networks in PyTorch
Python - 100天从新手到大师
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.