Joshua Sant'Anna's repositories
CausalPy
A Python package for causal inference in quasi-experimental settings
fastai
The fastai deep learning library, plus lessons and tutorials
mlops-with-vertex-ai
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
pyro-risks
Data science for wildfire risk and monitoring
pyro-vision
Wildfire detection system with minimal deployment cost
radiant-mlhub
Radiant MLHub Client
river
🍮 Online machine learning in Python
Robyn
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
talk-breizh-data-day-2018-gentle-bayesian
Talk from Breizh Data Day (Rennes, France) 2018
tidytuesday
Official repo for the #tidytuesday project