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Name: ChangYJ
Type: User
Name: ChangYJ
Type: User
Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
OpenTelemetry 中文文档: 接入使用、技术标准、RFC、SDK等.
FITS: Frequency Interpolation Time Series Analysis Baseline
Repository for "FreDF: Learning to Forecast in the Transformed Domain"
Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"
A robot powered training repository :robot:
Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing(华为-哈工大)
2018.7.30-8.19--P2PMoney
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (阿里AAAI 2019)
Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.
A Library for Advanced Deep Time Series Models.(清华2022 五维雷达图)
THIS PROJECT HAS BEEN MOVED: https://github.com/strongio/torchcast
Machine learning for transportation data imputation and prediction.(LCR 低秩矩阵插补)
trustworthy AI related projects(华为诺亚 因果库)
Transformer based model for time series prediction(arXiv SMD分解TS,构建图结构,Transformer输出)
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
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.