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Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

Dl_tutorial ⭐ 13

Machine Learning and Deep Learning Tutorial

House Price Prediction ⭐ 7

A web application built with python and flask to make use of pre-trained machine learning models to predict house prices

Mllib From Scratch ⭐ 6

Building a Machine Learning Library from scratch using Python3, based on SOTA library Scikit-learn

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