An experimental language for causal reasoning

🌈 Semantic Highlighting for Python in Neovim

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

A high-performance implementation of Shpitser's ID algorithm for causal identification in Rust

Python package for (conditional) independence testing and statistical functions related to causality.

[Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.

Parse and update changelogs

A Neovim plugin to format your code using Black

Delicatessen: the Python one-stop sandwich (variance) shop 🥪

❓y0 (pronounced "why not?") is for causal inference in Python

A lightweight graph class library relevant for causal inference.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

Featurized Density Ratio Estimation

Download and tidy time series data from the Australian Bureau of Statistics in R

Undervolt Intel CPUs under Linux

Send User Notifications on macOS from the command-line.