causality
There are 388 repositories under causality topic.
py-why/dowhy
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.
Kanaries/Rath
Next generation of automated data exploratory analysis and visualization platform.
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
yfzhang114/Generalization-Causality
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
itamarst/eliot
Eliot: the logging system that tells you *why* it happened
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
py-why/causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
causaltext/causal-text-papers
Curated research at the intersection of causal inference and natural language processing.
altdeep/causalML
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
maks-sh/scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
BiomedSciAI/causallib
A Python package for modular causal inference analysis and model evaluations
fulifeng/Causal_Reading_Group
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.
M-Nauta/TCDF
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
DataCanvasIO/YLearn
YLearn, a pun of "learn why", is a python package for causal inference
CausalInferenceLab/Causal-Inference-with-Python
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
wmayner/pyphi
A toolbox for integrated information theory.
cdt15/lingam
Python package for causal discovery based on LiNGAM.
Minyus/causallift
CausalLift: Python package for causality-based Uplift Modeling in real-world business
MinghuiChen43/awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
criteo-research/CausE
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
msuzen/looper
A resource list for causality in statistics, data science and physics
salesforce/causalai
Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
imirzadeh/awesome-causal-inference
A (concise) curated list of awesome Causal Inference resources.
rr-learning/CausalWorld
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
microsoft/robustdg
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
declare-lab/RECCON
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
OscarEngelbrektson/SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
tsinghua-fib-lab/DICE
The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
majianthu/pycopent
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
uhlerlab/causaldag
Python package for the creation, manipulation, and learning of Causal DAGs
deepcausality-rs/deep_causality
Hyper-geometric computational causality library for Rust
FLHonker/Awesome-Neural-Logic
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。
Wuyxin/DIR-GNN
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)