wp8733684's repositories
awesome-attention-based-gnns
A collection of resources on attention-based graph neural networks
Awesome-Foundation-Models-for-Weather-and-Climate
A comprehesive survey about foundation models for weather and cliamte data understanding.
Awesome-GNN4TS
Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
awesome-precipitation-nowcasting
A list of Precipitation Nowcasting papers and related resources.
Awesome-TimeSeries-SpatioTemporal-LM-LLM
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
Awesome-LWMs
☁️ A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)
BasicTS
A Standard and Fair Time Series Forecasting Benchmark and Toolkit.
DiffCast
[CVPR 2024] Official implementation of "DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting"
EarthFarseer
The official implementation of our project EarthFarseer, the related code and papers will be online soon
graph_weather
PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
GWEN
Graph-based Weather Ensemble Network that generates additional weather model ensemble members by dynamical training of a GNN.
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing
HiSTGNN
Codes for paper HiSTGNN
metnet3-pytorch
Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
Pangu-Weather
An official implementation of Pangu-Weather
pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.2)
pykan
Kolmogorov Arnold Networks
PyTorch-Tutorial-2nd
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
SmaAt-UNet
PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"
STG-Mamba
Official Implementation of STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model.
tower-eye
基于塔顶摄像头的能见度反算项目
TSFpaper
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.
weatherbench2
A benchmark for the next generation of data-driven global weather models.