Paper and Code about my research on hyperpsectral anomaly detection

A pytorch implementation of paper "Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery"

Pytorch code of "Hyperspectral Anomaly Change Detection Based on Auto-encoder"

A major challenge involving pollution detection is to measure the average PM2.5 concentration over major metropolitan areas. One useful method for predicting PM2.5 over a relatively wide range are …

Using machine learning method to estimate PM2.5 concentrations in China

This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to ex…

Machine learning for transportation data imputation and prediction.

BRITS Test

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

The WorldStrat Dataset

Collection of popular and reproducible image denoising works.