linjian-pa Goto Github PK
Name: LinJian-Met-AI
Type: User
Name: LinJian-Met-AI
Type: User
use AI to play some games.
An annotated implementation of the Transformer paper.
Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"
Code for: "Downscaling Atmospheric Chemistry Simulations with Physically Consistent Deep Learning", by Andrew Geiss, Sam J. Silva, and Joseph C. Hardin, (2022)
This is an official Pytorch implementation of Conditional Local Convolution for Spatio-temporal Meteorological Forecasting, AAAI 2022
MSc Research project (6 months). Data Assimilation using Deep Learning (AEs). Imperial College Machine Learning MSc 2018-19
[STOTEN 2022] Generating long-term (2003-2020) hourly 0.25° global PM2.5 dataset via spatiotemporal downscaling of CAMS with deep learning (DeepCAMS)
DeepSD Super-resolution for Climate Downscaling in KDD 2017
PyTorch implementation of the Graph Attention Networks (GAT) based on the paper "Graph Attention Network" by Velickovic et al - https://arxiv.org/abs/1710.10903v3
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
llama3 implementation one matrix multiplication at a time
Use LSTM to do PM2.5 prediction
Using LSTM model to predict PM2.5 with air quality data in Chiba
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
常用机器学习算法的简单手写实现,帮助更好理解算法
Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression
The open-source solutions of FourCastNet and GraphCast
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
JupyterLab notebooks for Partial Differential Equations 3 (SCEE09004)
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting
Kolmogorov Arnold Networks
RainNet: a convolutional neural network for radar-based precipitation nowcasting
Explaining the Math of how neural networks learn
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Pointer-generator reinforced seq2seq summarization in PyTorch
uDALES: large-eddy-simulation software for urban flow, dispersion and microclimate modelling
天气分类比赛
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.