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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

dame

All codes and plots for DAME paper

darts

A python library for easy manipulation and forecasting of time series.

deforestation

Deforestation

del-stats

Downloads, cleans and analyses DEL statistics because the DEL won't do it for us

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

footy-tipping

Tipping AFL games using machine learning to learn machine learning.

git_training

An interactive git training meant to teach you how git works, not just which commands to execute

gold-mine-detection

insight-website

website for landsat-landstats

landsat-landstats

Using LANDSAT7 satellite images to predict population.

notes

some notes and things

pytorch_neg_loss

NEG loss implemented in pytorch

qanda-scrape

scraping the transcripts from qanda

reduce-the-lead

A program to rank regions with a risk of lead poisoning amongst children

statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

til-blog

Blog for TILs

vimrc

Victorians In Melbourne Rate Canberra