CausalmlUplift modeling and causal inference with machine learning algorithms
PgmpyPython Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.
DowhyDoWhy 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 graphical models and potential outcomes frameworks.
causaldagPython package for the creation, manipulation, and learning of Causal DAGs
cobaltCovariate Balance Tables and Plots - An R package for assessing covariate balance
CIKM18-LCVACode for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
pcalg-pyImplement PC algorithm in Python | PC 算法的 Python 实现
causal-learnCausal Discovery for Python. Translation and extension of the Tetrad Java code.
drnet💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.
Causal Reading GroupWe will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
Awesome-Neural-LogicAwesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断,神经逻辑,强人工智能逻辑推理前沿领域。
cibookex-rCausal Inference: What If. R and Stata code for Exercises
drtmleNonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
CausalityTools.jlAlgorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.
policytreePolicy learning via doubly robust empirical welfare maximization over trees
RECCONThis repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
SINCausal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
causal-mlMust-read papers and resources related to causal inference and machine (deep) learning
causeinferMachine learning based causal inference/uplift in Python
CausalInferenceIntroCausal Inference for the Brave and True的中文翻译版。全部代码基于Python,适用于计量经济学、量化社会学、策略评估等领域。英文版原作者:Matheus Facure
perfect match➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
causalnlpCausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
cfvqa[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
cfml toolsMy collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context