zmhhh578 Goto Github PK
Type: User
Type: User
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.
An Open Source Standard Time Series Forecasting Benchmark.
This repo contains notebook of the Python code for performing clustering of turbines in a wind farm
The repository consists of an energy forecasting model using XGboost. The dataset consists of hourly energy consumption rates in kWh for an industrial utility.
Must-read papers on graph neural networks (GNN)
Scalable machine 🤖 learning for time series forecasting.
Implementation for MSDR
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.
A repository for making models based on GNN to predict pollution levels in megacity delhi. The input is a partial data in time and space which is used along with other regional features of a location to predict pollution levels of the centres which are unrecorded.
Time series forecasting with PyTorch
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting
A Library for Advanced Deep Time Series Models.
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
Transformer based model for time series prediction
Multivariate Multi-Step Time Series Forecasting Models for Air Pollution.
Time series forecasting especially in LSTF compare,include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LSTNet, Graph WaveNet
Physics-guided data-driven solutions for the wind energy industry
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.