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causal_bandits

causal_inference

Repository of projects focusing on discussion about experimental design and causal inference between variables using techniques like matching, difference in differences and fixed effects

causal_inference_book

R Code for Causal Inference by Hernán and Robins

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causal_transfer_learning

causal_twitter_modeling_covid19

Source code for the paper "Causal Modeling of Twitter Activity During COVID-19" (2020)

causalimpact

An R package for causal inference in time series

causalimpact-1

Python Causal Impact port of Google's Algorithm.

causalinference

Causal Inference in Python

causality

Tools for causal analysis

causality-1

In which I play with the ideas surrounding causality

causality-2

causallift

CausalLift: Python package for Uplift Modeling in real-world business

causalm

CausaLM: Causal Model Explanation Through Counterfactual Language Models

causalmgm

causalMGM is an R package that allow users to learn undirected and directed (causal) graphs over mixed data types (i.e., continuous and discrete variables).

causalml

Uplift modeling and causal inference with machine learning algorithms

causalml-1

A course on causal machine learning.

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

causaloptim

An Interface to Specify Causal Graphs and Compute Balke Bounds

causalsurvivalanalysis

causaltoolbox

causaltree

Working repository for Causal Tree and extensions

causation

Exploration of additive noise models for detecting causation from correlation

causation_learning_theory

causeandcorrelation

a series of R programs to accompany the book Cause and correlation in biology

causeeffectpairschallenge

cbsodatar

Statistics Netherlands (CBS) OpenData API Client for R

cdata

Higher order fluid or coordinatized data transforms in R. Distributed under choice of GPL-2 or GPL-3 license.

cdml-neurips2020

This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop at Neural Information Processing Systems (NeurIPS) 2020.

cevae

Causal Effect Inference with Deep Latent-Variable Models