linjian-pa Goto Github PK

aigames

use AI to play some games.

annotated-transformer

An annotated implementation of the Transformer paper.

c4dl-multi

Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"

chem_downscaling

Code for: "Downscaling Atmospheric Chemistry Simulations with Physically Consistent Deep Learning", by Andrew Geiss, Sam J. Silva, and Joseph C. Hardin, (2022)

clcrn

This is an official Pytorch implementation of Conditional Local Convolution for Spatio-temporal Meteorological Forecasting, AAAI 2022

data_assimilation

MSc Research project (6 months). Data Assimilation using Deep Learning (AEs). Imperial College Machine Learning MSc 2018-19

deepcams

[STOTEN 2022] Generating long-term (2003-2020) hourly 0.25° global PM2.5 dataset via spatiotemporal downscaling of CAMS with deep learning (DeepCAMS)

deepsd

DeepSD Super-resolution for Climate Downscaling in KDD 2017

gat-pt

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

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

lstm_prediction

Use LSTM to do PM2.5 prediction

lstm_seq2seq_predict_pm2.5

Using LSTM model to predict PM2.5 with air quality data in Chiba

ltsf-linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

ml_gzh

常用机器学习算法的简单手写实现，帮助更好理解算法

modis-lst-downscaling-with-rfr

Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression

opencastkit

The open-source solutions of FourCastNet and GraphCast

patchtst

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

pde3

JupyterLab notebooks for Partial Differential Equations 3 (SCEE09004)

pm2.5-gnn

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

pm2.5forecast-seq2seq

pykan

Kolmogorov Arnold Networks

rainnet

RainNet: a convolutional neural network for radar-based precipitation nowcasting

scratch_mlp

Explaining the Math of how neural networks learn

segment-anything

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.

seq2seq-summarizer

Pointer-generator reinforced seq2seq summarization in PyTorch

u-dales

uDALES: large-eddy-simulation software for urban flow, dispersion and microclimate modelling

weatherclassification

天气分类比赛