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Name: ZhouHang
Type: User
Name: ZhouHang
Type: User
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Python 3 library to write CZML
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A library to visualize (keplerian) orbital movements of a satellite network in 3D using OpenGL® 4.2.
About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Large-scale Satellite Networks Simulator (LSNS)
《统计学习方法》的代码实现
Simulation tool for CDN replication in large low-earth orbit satellite access networks.
Merlion: A Machine Learning Framework for Time Series Intelligence
Multi-agent task allocation
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
Enable the interaction between ns-3 and popular frameworks using Python, which mean you can train and test your AI algorithms in ns-3 without changing any frameworks you are using now!
ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.
Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
This is the official implementation of Multi-Agent PPO (MAPPO).
The current generation of LEO constellations assumes that each LEO satellite covers a ground area regardless of the number of end users or terminals operating in the same area. The satellite solution to the communication problem, both in terms of reach and quality, is lacking when we talk about optimization in QoS aspects. (latency and throughput The questions our project deals with are What are the requirements for the QoS? What QoS can we provide with efficient routing in the given constellation? How to maximize the number of users for a specific region and QoS? How many satellites will suffice for the desired QoS in the given constellation? In addition to the geographical difficulties of routing, there is a delay time problem and therefore the processing time of the routing algorithm has a great impact. The problem the project will deal with is traffic routing for a satellite network based on LEO satellites, considering various service metrics.
Continuation of LaviBenshimol's project
Latex code for making neural networks diagrams
This software has developed a positioning software based on the Iridium satellite signal based on the C/C++ language and windows + QT platform, which basically realizes the following functions: 1. Doppler information processing and extraction and image presentation after the hardware collects the input data; 2. TLE update tool mainly for Iridium; 3. Automatic identification, overhead satellite prediction and positioning based on the extracted Doppler information and the satellite number of the TLE file, and displayed on the graphical interface based on Baidu Map API;
QtJSBSim modular flight simulator, front end for JSBSim
🛰️ Monitor and record your ViaSat Satellite network usage on Linux and macOS.
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.