Topic: causal-inference Goto Github

👇 Here are 791 public repositories matching this topic...

amaiya / causalnlp
causal-inference,CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
User: amaiya
Home Page: https://amaiya.github.io/causalnlp/
causal-inference nlp

autonlab / auton-survival
causal-inference,Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Organization: autonlab
Home Page: http://autonlab.github.io/auton-survival
survival-analysis reliability-analysis python data-science deep-learning machine-learning time-to-event counterfactual-inference regression causal-inference

biomedia-mira / deepscm
causal-inference,Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Organization: biomedia-mira
causal-inference counterfactuals deep-learning normalizing-flows variational-autoencoders

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

brylevkirill / notes
causal-inference,Learn about Machine Learning and Artificial Intelligence
User: brylevkirill
artificial-intelligence machine-learning deep-learning reinforcement-learning bayesian-inference probabilistic-programming knowledge-representation reasoning causal-inference knowledge-graph

causal-machine-learning / kdd2021-tutorial
causal-inference,EconML/CausalML KDD 2021 Tutorial
Organization: causal-machine-learning
Home Page: https://causal-machine-learning.github.io/kdd2021-tutorial/
causal-inference machine-learning

causalinferencelab / causal-inference-with-python
causal-inference,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 causality data-science econometrics experimental-design python

cdt15 / lingam
causal-inference,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
causal-inference,Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Organization: criteo-research
tensorflow embeddings causal-inference causality

d909b / perfect_match
causal-inference,➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
User: d909b
causal-inference deep-learning machine-learning neural-networks

datacanvasio / ylearn
causal-inference,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
causal-inference,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

doubleml / doubleml-for-py
causal-inference,DoubleML - Double Machine Learning in Python
Organization: doubleml
Home Page: https://docs.doubleml.org
machine-learning python scikit-learn causal-inference statistics econometrics data-science double-machine-learning

fehiepsi / rethinking-numpyro
causal-inference,Statistical Rethinking (2nd ed.) with NumPyro
User: fehiepsi
Home Page: https://fehiepsi.github.io/rethinking-numpyro/
bayesian-statistics laplace-approximation markov-chain-monte-carlo causal-inference variational-inference python numpy

fentechsolutions / causaldiscoverytoolbox
causal-inference,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 inference

flhonker / awesome-neural-logic
causal-inference,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
causal-inference,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

grf-labs / grf
causal-inference,Generalized Random Forests
Organization: grf-labs
Home Page: https://grf-labs.github.io/grf/
causal-inference random-forest econometrics machine-learning statistics causal-forest

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

jhartford / deepiv
causal-inference,Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
User: jhartford
deep-learning causal-inference instrumental-variable

jiachenli94 / awesome-decision-making-reinforcement-learning
causal-inference,A selection of state-of-the-art research materials on decision making and motion planning.
User: jiachenli94
reinforcement-learning decision-making autonomous-vehicles trajectory-planning algorithms motion-planning inverse-reinforcement-learning motion-control trajectory-generation machine-learning

jrfiedler / causal_inference_python_code
causal-inference,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

juliadynamics / causalitytools.jl
causal-inference,Algorithms for detecting associations, dynamical influences and causal inference from data.
Organization: juliadynamics
Home Page: https://juliadynamics.github.io/CausalityTools.jl/dev/
causal-inference transfer-entropy cross-mapping predictive-asymmetry entropy mutual-information surrogate-data time-series julia julia-language

jvpoulos / causal-ml
causal-inference,Must-read papers and resources related to causal inference and machine (deep) learning
User: jvpoulos
causal-inference causal-models counterfactual treatment-effects representation-learning causal-discovery paper-list randomized-controlled-trials heterogeneous-treatment-effects counterfactual-learning

kanaries / rath
causal-inference,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

maks-sh / scikit-uplift
causal-inference,: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
causal-inference,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

matteocourthoud / awesome-causal-inference
causal-inference,A curated list of causal inference libraries, resources, and applications.
User: matteocourthoud
awesome causal-inference

mckinsey / causalnex
causal-inference,A Python library that helps data scientists to infer causation rather than observing correlation.
Organization: mckinsey
Home Page: http://causalnex.readthedocs.io/
causal-inference causal-models causal-networks bayesian-networks bayesian-inference machine-learning data-science causalnex

minyus / causallift
causal-inference,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

mschauer / causalinference.jl
causal-inference,Causal inference, graphical models and structure learning in Julia
User: mschauer
Home Page: https://mschauer.github.io/CausalInference.jl/latest/
causal-inference hacktoberfest julia

msuzen / looper
causal-inference,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

oscarengelbrektson / syntheticcontrolmethods
causal-inference,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

pgmpy / pgmpy
causal-inference,Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Organization: pgmpy
Home Page: https://pgmpy.org/
python probabilistic-graphical-models bayesian-networks causal-inference structure-learning causal-discovery directed-acyclic-graph inference simulations

plasma-umass / coz
causal-inference,Coz: Causal Profiling
Organization: plasma-umass
profiler optimization causal-inference performance-analysis performance-engineering

py-why / causal-learn
causal-inference,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 causality python graph structure tetrad time-series hidden-causal

py-why / dowhy
causal-inference,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
causal-inference machine-learning graphical-models bayesian-networks data-science python3 causality causal-models treatment-effects do-calculus

py-why / econml
causal-inference,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

pymc-labs / causalpy
causal-inference,A Python package for causal inference in quasi-experimental settings
Organization: pymc-labs
Home Page: https://causalpy.readthedocs.io
causal-inference pymc quasi-experimental quasi-experiments

pzivich / python-for-epidemiologists
causal-inference,Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
User: pzivich
causal-inference epidemiology python tutorial

r-causal / ggdag
causal-inference,:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)
Organization: r-causal
Home Page: https://r-causal.github.io/ggdag/
r rstats causal-inference ggplot-extension dag

rguo12 / awesome-causality-algorithms
causal-inference,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

tangxyw / recsyspapers
causal-inference,推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
User: tangxyw
Home Page: https://tangxyw.github.io/
calibration causal-inference cold-start contrastive-learning debias distillation diverse fairness match papers

timelovercc / awesome-graph-causal-learning
causal-inference,A list of Graph Causal Learning materials.
User: timelovercc
causal-inference causal-models deep-learning graph-neural-networks machine-learning

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

uber / causalml
causal-inference,Uplift modeling and causal inference with machine learning algorithms
Organization: uber
incubation machine-learning causal-inference uplift-modeling

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

willianfuks / tfcausalimpact
causal-inference,Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
User: willianfuks
causalimpact tensorflow-probability python causal-inference

xieliaing / causalinferenceintro
causal-inference,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
User: xieliaing
causal-inference econometrics policy-evaluation socialscience

zalando / expan
causal-inference, Open-source Python library for statistical analysis of randomised control trials (A/B tests)
Organization: zalando
ab-testing abtest abtesting causal-inference experimentation python statistical-analysis statistics