all-in-one

All-in-One Docker with Ubunutu Desktop, R(latest), Python(3.8), Spyder(latest), Redis(latest)

appstream

atetrees

Python implementation of a Random Forest based on the Causal tree algorithm

athammad

balilockdown

Script from: "Back to the fields: COVID-19 impact on agricultural activitydetected with satellite data" by A. T. Hammad, G. Falchetta, I. B. M. Wirawanb.

causal-curve

A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.

dockerpyr

Useful container for projects that requires both R and Python (to be used with Docker Machine)

dotfiles

Default configuration for Le Wagon's students

elmannet

Docker container to use Elman recurrent net to learn sequential and time-varying patterns

epetitionviz

EpetitionViz: An integrated tool to understand e-petitions and support policy decision

fastapi-pgstarterkit

FastAPI & PostgreSQL starter kit with Docker. Revamped backend template for modern needs.

graphcast

grf

Generalized Random Forests

helpers

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

mabwiser

[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library

pbox

pbox R package. Exploring multivariate spaces with Probability Boxes

rstudiodesk

site

syntcf

syntCF is an R package that provides a set of tools to estimate the effect of a program or a policy using a robust time series synthetic counterfactual approach coupled with the double difference estimator within a Machine Learning framework.

vhi_sea

Main code for the paper "Probabilistic prediction of remotely sensed crop health and its food security implications" written by Ahmed T. Hammad, and Giacomo Falchetta"

welfareimpact

Main code for the paper "The long-run welfare impact of hydrological extremes in sub-Saharan Africa"

yes_today