causal-mlMust-read papers and resources related to causal inference and machine (deep) learning
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causeinferMachine learning based causal inference/uplift in Python
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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
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perfect match➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
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causalnlpCausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
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cfvqa[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
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tlverse-handbook🎯 📕 Targeted Learning in R: A Causal Data Science Handbook
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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
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CozCoz: Causal Profiling
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CausalmlUplift modeling and causal inference with machine learning algorithms
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PgmpyPython Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.
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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.
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causaldagPython package for the creation, manipulation, and learning of Causal DAGs
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cobaltCovariate Balance Tables and Plots - An R package for assessing covariate balance
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Python-for-EpidemiologistsTutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
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CIKM18-LCVACode for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
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pcalg-pyImplement PC algorithm in Python | PC 算法的 Python 实现
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causal-learnCausal Discovery for Python. Translation and extension of the Tetrad Java code.
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doubleml-for-rDoubleML - Double Machine Learning in R
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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.
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doubleml-for-pyDoubleML - Double Machine Learning in Python
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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.
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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。
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cibookex-rCausal Inference: What If. R and Stata code for Exercises
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drtmleNonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
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CausalityTools.jlAlgorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.
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policytreePolicy learning via doubly robust empirical welfare maximization over trees
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RECCONThis repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
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