Pinned Repositories
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.
gold-mine-detection
landsat-landstats
Using LANDSAT7 satellite images to predict population.
MLforHSR
patrick-dd's Repositories
patrick-dd/landsat-landstats
Using LANDSAT7 satellite images to predict population.
patrick-dd/footy-tipping
Tipping AFL games using machine learning to learn machine learning.
patrick-dd/gold-mine-detection
patrick-dd/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
patrick-dd/DAME
All codes and plots for DAME paper
patrick-dd/darts
A python library for easy manipulation and forecasting of time series.
patrick-dd/deforestation
Deforestation
patrick-dd/del-stats
Downloads, cleans and analyses DEL statistics because the DEL won't do it for us
patrick-dd/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.
patrick-dd/git_training
An interactive git training meant to teach you how git works, not just which commands to execute
patrick-dd/insight-website
website for landsat-landstats
patrick-dd/notes
some notes and things
patrick-dd/pytorch_NEG_loss
NEG loss implemented in pytorch
patrick-dd/qanda-scrape
scraping the transcripts from qanda
patrick-dd/reduce-the-lead
A program to rank regions with a risk of lead poisoning amongst children
patrick-dd/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
patrick-dd/til-blog
Blog for TILs
patrick-dd/vimrc
Victorians In Melbourne Rate Canberra