doubleml-for-pyDoubleML - Double Machine Learning in Python
Stars: ✭ 129 (+168.75%)
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.
Stars: ✭ 339 (+606.25%)
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。
Stars: ✭ 106 (+120.83%)
cibookex-rCausal Inference: What If. R and Stata code for Exercises
Stars: ✭ 54 (+12.5%)
drtmleNonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
Stars: ✭ 14 (-70.83%)
CausalityTools.jlAlgorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.
Stars: ✭ 45 (-6.25%)
policytreePolicy learning via doubly robust empirical welfare maximization over trees
Stars: ✭ 59 (+22.92%)
RECCONThis repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Stars: ✭ 126 (+162.5%)
SINCausal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
Stars: ✭ 32 (-33.33%)
causal-mlMust-read papers and resources related to causal inference and machine (deep) learning
Stars: ✭ 387 (+706.25%)
causeinferMachine learning based causal inference/uplift in Python
Stars: ✭ 45 (-6.25%)
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
Stars: ✭ 207 (+331.25%)
perfect match➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
Stars: ✭ 100 (+108.33%)
causalnlpCausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
Stars: ✭ 98 (+104.17%)
cfvqa[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
Stars: ✭ 96 (+100%)
tlverse-handbook🎯 📕 Targeted Learning in R: A Causal Data Science Handbook
Stars: ✭ 50 (+4.17%)
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
Stars: ✭ 24 (-50%)
CozCoz: Causal Profiling
Stars: ✭ 2,719 (+5564.58%)
CausalmlUplift modeling and causal inference with machine learning algorithms
Stars: ✭ 2,499 (+5106.25%)
PgmpyPython Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.
Stars: ✭ 1,942 (+3945.83%)
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.
Stars: ✭ 3,480 (+7150%)
causaldagPython package for the creation, manipulation, and learning of Causal DAGs
Stars: ✭ 82 (+70.83%)
cobaltCovariate Balance Tables and Plots - An R package for assessing covariate balance
Stars: ✭ 52 (+8.33%)
Python-for-EpidemiologistsTutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
Stars: ✭ 107 (+122.92%)
CIKM18-LCVACode for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Stars: ✭ 13 (-72.92%)
pcalg-pyImplement PC algorithm in Python | PC 算法的 Python 实现
Stars: ✭ 52 (+8.33%)
causal-learnCausal Discovery for Python. Translation and extension of the Tetrad Java code.
Stars: ✭ 428 (+791.67%)
doubleml-for-rDoubleML - Double Machine Learning in R
Stars: ✭ 58 (+20.83%)