Reid Falconer's starred repositories
judgyprophet
Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).
FastTreeSHAP
Fast SHAP value computation for interpreting tree-based models
python-geospatial
A collection of Python packages for geospatial analysis with binder-ready notebook examples
production-data-science
Production Data Science: a workflow for collaborative data science aimed at production
styleguide
Style guides for Google-originated open-source projects
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
pycrop-yield-prediction
A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction
sentinel2-cloud-detector
Sentinel Hub Cloud Detector for Sentinel-2 images in Python
nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
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.
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.