30 Open source projects that are alternatives of or similar to causalnlp

[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias

🎯 📕 Targeted Learning in R: A Causal Data Science Handbook

My 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

Coz: Causal Profiling

Uplift modeling and causal inference with machine learning algorithms

Python Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.

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 graphical models and potential outcomes frameworks.

Python package for the creation, manipulation, and learning of Causal DAGs

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Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

Implement PC algorithm in Python | PC 算法的 Python 实现

Causal Discovery for Python. Translation and extension of the Tetrad Java code.

DoubleML - Double Machine Learning in R

💉📈 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.

DoubleML - Double Machine Learning in Python

We 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 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。

Causal Inference: What If. R and Stata code for Exercises

🎓 GSU MPA/MPP course on program evaluation and causal inference

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

Algorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.

A Python package for causal inference using Synthetic Controls

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This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)

Must-read papers and resources related to causal inference and machine (deep) learning

Machine learning based causal inference/uplift in Python

Causal 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 is a simple method for learning representations for counterfactual inference with neural networks.