Benjamin T. Vincent's starred repositories
tidytuesday
Official repo for the #tidytuesday project
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.
quarto-cli
Open-source scientific and technical publishing system built on Pandoc.
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
QuantEcon.py
A community based Python library for quantitative economics
ble_monitor
BLE monitor for passive BLE sensors
everything
An index of all our open-source data, analysis, libraries, tools, and guides.
bump2version
Version-bump your software with a single command
awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
pyprojroot
Finding project directories in Python (data science) projects, just like in R rprojroot and here packages
CounterfactualExplanations.jl
A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
ding_causalInference_python
python implementation of Peng Ding's "First Course in Causal Inference"