Topic: causal-inference Goto Github
Some thing interesting about causal-inference
Some thing interesting about causal-inference
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,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
causal-inference,Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Organization: biomedia-mira
causal-inference,A Python package for modular causal inference analysis and model evaluations
Organization: biomedsciai
causal-inference,Learn about Machine Learning and Artificial Intelligence
User: brylevkirill
causal-inference,EconML/CausalML KDD 2021 Tutorial
Organization: causal-machine-learning
Home Page: https://causal-machine-learning.github.io/kdd2021-tutorial/
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,Python package for causal discovery based on LiNGAM.
Organization: cdt15
Home Page: https://sites.google.com/view/sshimizu06/lingam
causal-inference,Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Organization: criteo-research
causal-inference,➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
User: d909b
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,This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Organization: declare-lab
causal-inference,DoubleML - Double Machine Learning in Python
Organization: doubleml
Home Page: https://docs.doubleml.org
causal-inference,Statistical Rethinking (2nd ed.) with NumPyro
User: fehiepsi
Home Page: https://fehiepsi.github.io/rethinking-numpyro/
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,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
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,Generalized Random Forests
Organization: grf-labs
Home Page: https://grf-labs.github.io/grf/
causal-inference,A (concise) curated list of awesome Causal Inference resources.
User: imirzadeh
causal-inference,Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
User: jhartford
causal-inference,A selection of state-of-the-art research materials on decision making and motion planning.
User: jiachenli94
causal-inference,Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
User: jrfiedler
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,Must-read papers and resources related to causal inference and machine (deep) learning
User: jvpoulos
causal-inference,Next generation of automated data exploratory analysis and visualization platform.
Organization: kanaries
Home Page: https://kanaries.net
causal-inference,:exclamation: uplift modeling in scikit-learn style in python :snake:
User: maks-sh
Home Page: https://www.uplift-modeling.com
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,A curated list of causal inference libraries, resources, and applications.
User: matteocourthoud
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,CausalLift: Python package for causality-based Uplift Modeling in real-world business
User: minyus
Home Page: https://causallift.readthedocs.io/
causal-inference,Causal inference, graphical models and structure learning in Julia
User: mschauer
Home Page: https://mschauer.github.io/CausalInference.jl/latest/
causal-inference,A resource list for causality in statistics, data science and physics
User: msuzen
causal-inference,A Python package for causal inference using Synthetic Controls
User: oscarengelbrektson
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/
causal-inference,Coz: Causal Profiling
Organization: plasma-umass
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-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,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/
causal-inference,A Python package for causal inference in quasi-experimental settings
Organization: pymc-labs
Home Page: https://causalpy.readthedocs.io
causal-inference,Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
User: pzivich
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/
causal-inference,An index of algorithms for learning causality with data
User: rguo12
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/
causal-inference,A list of Graph Causal Learning materials.
User: timelovercc
causal-inference,The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
Organization: tsinghua-fib-lab
causal-inference,Uplift modeling and causal inference with machine learning algorithms
Organization: uber
causal-inference,Python package for the creation, manipulation, and learning of Causal DAGs
Organization: uhlerlab
causal-inference,Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
User: willianfuks
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, Open-source Python library for statistical analysis of randomised control trials (A/B tests)
Organization: zalando
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