Topic: causality Goto Github

👇 Here are 366 public repositories matching this topic...

altdeep / causalml
causality,The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
Organization: altdeep
Home Page: https://www.altdeep.ai/courses/causalML
causality machine-learning

biomedsciai / causallib
causality,A Python package for modular causal inference analysis and model evaluations
Organization: biomedsciai
causal causal-inference causal-models causality data-science machine-learning ml

causalincentives / pycid
causality,Library for graphical models of decision making, based on pgmpy and networkx
Organization: causalincentives
influence-diagrams bayesian-networks causality

causalinferencelab / causal-inference-with-python
causality,Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Organization: causalinferencelab
Home Page: https://causalinferencelab.github.io/Causal-Inference-with-Python/
causal-inference experimental-design python data-science econometrics causality

causaltext / causal-text-papers
causality,Curated research at the intersection of causal inference and natural language processing.
Organization: causaltext
causality natural-language-processing

cdt15 / lingam
causality,Python package for causal discovery based on LiNGAM.
Organization: cdt15
Home Page: https://sites.google.com/view/sshimizu06/lingam
causal-discovery causal-inference causal-models causality causality-analysis lingam machine-learning python

criteo-research / cause
causality,Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Organization: criteo-research
tensorflow embeddings causal-inference causality

datacanvasio / ylearn
causality,YLearn, a pun of "learn why", is a python package for causal inference
Organization: datacanvasio
Home Page: https://ylearn.readthedocs.io
causal-inference causality causal-models causal-discovery causality-analysis causality-algorithms uplift uplift-modeling policy-learning

declare-lab / reccon
causality,This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Organization: declare-lab
emotion-recognition emotion-recognition-in-conversation dialogue-systems dialogue-generation emotion-cause-pair-extraction emotion-cause bert-model roberta emotion-tasks dataset

deepcausality-rs / deep_causality
causality,Hyper-geometric computational causality library for Rust
Organization: deepcausality-rs
Home Page: https://deepcausality.com/
causality causality-algorithms causality-analysis causality-test rust rust-lang

evan-magnusson / rdd
causality,Python tools for regression discontinuity designs
User: evan-magnusson
Home Page: https://pypi.org/project/rdd/
causal-impact causal-inference causality econometrics pandas python python-library python3

felixleopoldo / benchpress
causality,A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
User: felixleopoldo
Home Page: https://benchpressdocs.readthedocs.io
graphical-models bayesian-networks markov-networks benchmarking reproducible-research machine-learning snakemake-workflow structure-learning causal-discovery causal-models

fentechsolutions / causaldiscoverytoolbox
causality,Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Organization: fentechsolutions
Home Page: https://fentechsolutions.github.io/CausalDiscoveryToolbox/html/index.html
causal-inference graph causality causal-models algorithm machine-learning graph-structure-recovery python causal-discovery toolbox

flhonker / awesome-neural-logic
causality,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。
User: flhonker
neural-network logic-programming inductive-logic-programming logic markov first-order-logic causal causal-inference causality

fulifeng / causal_reading_group
causality,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.
User: fulifeng
causal-inference machine-learning causality recommender-system deep-learning

i6092467 / gvar
causality,An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
User: i6092467
Home Page: https://openreview.net/forum?id=DEa4JdMWRHp
machine-learning interpretable-models time-series-analysis granger-causality-analysis autoregressive-neural-networks causality granger-causality

imirzadeh / awesome-causal-inference
causality,A (concise) curated list of awesome Causal Inference resources.
User: imirzadeh
causal-inference artificial-intelligence causality machine-learning

itamarst / eliot
causality,Eliot: the logging system that tells you *why* it happened
User: itamarst
Home Page: https://eliot.readthedocs.io
python logging logging-library tracing causality causality-analysis causation twisted journald elasticsearch

jrfiedler / causal_inference_python_code
causality,Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
User: jrfiedler
causality causal-inference data-science python

kanaries / rath
causality,Next generation of automated data exploratory analysis and visualization platform.
Organization: kanaries
Home Page: https://kanaries.net
datamining visualization automated-visualization data-exploration eda machine-learning automated-data-analysis data-visualization data-analysis tableau

m-nauta / tcdf
causality,Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
User: m-nauta
causality cnn forecasting machine-learning neural-networks prediction python pytorch timeseries

maheepchaudhary / causation-incomputervision
causality,The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.
User: maheepchaudhary
causal-inference causality computer-vision counterfactual counterfactual-explanations

majianthu / pycopent
causality,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
User: majianthu
Home Page: https://pypi.org/project/copent/
copula-entropy mutual-information causal-discovery variable-selection granger-causality transfer-entropy correlation normality-test information-theory causality

maks-sh / scikit-uplift
causality,:exclamation: uplift modeling in scikit-learn style in python :snake:
User: maks-sh
Home Page: https://www.uplift-modeling.com
uplift-modeling causal-inference uplift machine-learning causality individual-treatment-effects true-lift net-lift uplift-modelling

matheusfacure / python-causality-handbook
causality,Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
User: matheusfacure
Home Page: https://matheusfacure.github.io/python-causality-handbook/landing-page.html
causal-inference python causality data-science econometrics impact-estimation harmless-econometrics

maxwshen / iap-cidl
causality,Causal Inference & Deep Learning, MIT IAP 2018
User: maxwshen
inference causal-models causality notes

microsoft / robustdg
causality,Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
Organization: microsoft
machine-learning domain-generalization causality privacy-preserving-machine-learning artificial-intelligence

mikenguyen13 / data_analysis
causality,Streamline a data analysis process
User: mikenguyen13
Home Page: https://bookdown.org/mike/data_analysis/
causal-analysis causal-inference causal-models causality data-science data-visualization datascience guide guidebook machine-learning

minghuichen43 / awesome-trustworthy-deep-learning
causality,A curated list of trustworthy deep learning papers. Daily updating...
User: minghuichen43
adversarial-machine-learning security privacy deep-learning poisoning fairness backdoor green-ai ownership robustness

minyus / causallift
causality,CausalLift: Python package for causality-based Uplift Modeling in real-world business
User: minyus
Home Page: https://causallift.readthedocs.io/
uplift-modeling uplift causal-inference causality counterfactual propensity-score propensity-scores econometrics causal-impact

mrosol / nonlincausality
causality,Python package for Granger causality test with nonlinear forecasting methods.
User: mrosol
causality-analysis granger-causality nonlinear-models python causality causality-test nonlinear-causality prediction time-series forecasting

msuzen / looper
causality,A resource list for causality in statistics, data science and physics
User: msuzen
statistics statistical-inference bayesian-inference causality-analysis causality data-science physics machine-learning causal-inference meta-learning

nredell / shapflex
causality,An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
User: nredell
shapley shapley-value ensemble machine-learning package r feature-importance shapley-values iml interpretable-machine-learning

oscarengelbrektson / syntheticcontrolmethods
causality,A Python package for causal inference using Synthetic Controls
User: oscarengelbrektson
econometrics program-evaluation causal-inference counterfactual python package synthetic-control policy-evaluation causal-models causality

phlippe / enco
causality,Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
User: phlippe
causal-discovery pytorch causality structure-learning

py-why / causal-learn
causality,Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Organization: py-why
Home Page: https://causal-learn.readthedocs.io/en/latest/
causal causal-discovery causal-inference causal-representation-learning causality confounder graph hidden-causal independence-tests python statistics structure tetrad time-series

py-why / dodiscover
causality,[Experimental] Global causal discovery algorithms
Organization: py-why
Home Page: https://www.pywhy.org/dodiscover/
causal-inference causality graphs python structure-learning

py-why / dowhy
causality,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.
Organization: py-why
Home Page: https://www.pywhy.org/dowhy
bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects

py-why / econml
causality,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.
Organization: py-why
Home Page: https://www.microsoft.com/en-us/research/project/alice/
machine-learning economics causal-inference causality econometrics treatment-effects

reiinakano / invariant-risk-minimization
causality,Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
User: reiinakano
machine-learning deep-learning neural-network invariant-risk-minimization causality

rguo12 / awesome-causality-algorithms
causality,An index of algorithms for learning causality with data
User: rguo12
causality causal-inference causality-analysis causality-algorithms unconfoundedness-assumption baselines awesome learning-to-rank recommender-system multilabel-classification

rr-learning / causalworld
causality,CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Organization: rr-learning
Home Page: https://sites.google.com/view/causal-world/home
reinforcement-learning transfer-learning robotics causality sim2real generalization

salesforce / causalai
causality,Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
Organization: salesforce
causality

shoepaladin / causalinference_crashcourse
causality,Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
User: shoepaladin
causal-inference causality teaching-materials

tsinghua-fib-lab / dice
causality,The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
Organization: tsinghua-fib-lab
causality causal-inference recommender-system recommendation-system recommendation

uhlerlab / causaldag
causality,Python package for the creation, manipulation, and learning of Causal DAGs
Organization: uhlerlab
causal-inference causality inference causal-dags causal-models

wmayner / pyphi
causality,A toolbox for integrated information theory.
User: wmayner
Home Page: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006343
causality information neuroscience integrated-information modeling causation

wuyxin / dir-gnn
causality,Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
User: wuyxin
Home Page: https://arxiv.org/abs/2201.12872
graph-neural-networks pytorch causality generalization causal-discovery invariant-learning iclr2022 interpretability

yfzhang114 / generalization-causality
causality,关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
User: yfzhang114
machine-learning deep-learning causality optimization robustness adaptation generative-model

yuleiniu / cfvqa
causality,[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
User: yuleiniu
vqa causal-inference causality counterfactual cvpr cvpr2021 language-bias pytorch