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Search results for causal inference causality
causal-inference
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causality
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64 search results found
Dowhy
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6,730
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.
Rath
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3,717
Next generation of automated data exploratory analysis and visualization platform.
Econml
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3,522
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
Awesome Causality Algorithms
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2,558
An index of algorithms for learning causality with data
Pgmpy
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2,551
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Python Causality Handbook
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2,265
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Causal Learn
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958
Causal Discovery in Python. Translation and extension of the Tetrad Java code.
Causal_inference_python_code
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898
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Causaldiscoverytoolbox
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804
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Causal Text Papers
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675
Curated research at the intersection of causal inference and natural language processing.
Causallib
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653
A Python package for modular causal inference analysis and model evaluations
Scikit Uplift
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572
❗ uplift modeling in scikit-learn style in python 🐍
Causal_reading_group
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361
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.
Ylearn
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344
YLearn, a pun of "learn why", is a python package for causal inference
Causal Inference With Python
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328
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Lingam
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312
Python package for causal discovery based on LiNGAM.
Causallift
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310
CausalLift: Python package for causality-based Uplift Modeling in real-world business
Looper
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201
A resource list for causality in statistics, data science and physics
Cause
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185
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Awesome Causal Inference
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169
A (concise) curated list of awesome Causal Inference resources.
Dice
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130
The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
Reccon
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128
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Causaldag
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95
Python package for the creation, manipulation, and learning of Causal DAGs
Cfvqa
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70
[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
Causalinference_crashcourse
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63
Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
Iap Cidl
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60
Causal Inference & Deep Learning, MIT IAP 2018
Causation Incomputervision
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56
The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.
Py Bbn
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54
Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling
Causeinfer
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54
Machine learning based causal inference/uplift in Python
Dodiscover
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48
[Experimental] Global causal discovery algorithms
Cause2e
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45
The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
Pysynthdid
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40
Synthetic difference in differences for Python
Avici
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38
Amortized Inference for Causal Structure Learning, NeurIPS 2022
Causalegm
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35
A General Causal Inference Framework by Encoding Generative Modeling
Openasce
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35
OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, causal effect estimation and attribution algorithms all in one package.
Causality
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35
In which I play with the ideas surrounding causality
Causal Inference
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30
Materials Collection for Causal Inference
Bioexp
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23
Explainability of Deep Learning Models
Obs Causal Q Network
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23
AAAI 22 - Training a Resilient Q-Network against Observational Interference, Causal Inference Q-Networks
Awesome Neural Logic
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17
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。
Agrum
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17
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
Invariantcausal.jl
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17
Causal Inference with Invariant Prediction
Cfml_tools
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12
My 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
Causal Recommender Systems
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11
An index of causal inference based recommendation algorithms.
Overview_causal_inference
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11
A Brief Overview of Causal Inference (xaringan presentation)
Cci
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10
Cyclic Causal Inference
Unicorn
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10
A Framework for Reasoning about System Performance using Causal AI
Cmcir
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10
[IEEE T-PAMI 2023] Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering
Rdd
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9
Python tools for regression discontinuity designs
Colab Notebooks
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9
Colab notebooks exploring different Machine Learning topics.
Typed Dag
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9
Causal discovery with typed directed acyclic graphs (t-DAG)
Pypsps
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9
Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras
Credici
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8
Credici: Credal Inference for Causal Inference
Simmixeddag
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7
The simMixedDAG package enables simulation of "real life" datasets from DAGs
Causai
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7
Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making systems
Causality4rec_paperlist
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7
This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.
Ctl
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7
A causal tree method for heterogeneous treatment effects in Python
Headlinecause
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7
A dataset of news headlines for detecting causalities
Essential3crl
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6
Research about Causality-based Reinforcement Learning. This repository includes all needed fundamentals, summary of past work and some most recent development
Demo_repo
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5
Demo repository for Digital Causality Lab
Dosearch
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5
dosearch: R Package for Identifying General Causal Queries
Causal Inference Using Quasi Experimental Methods
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5
Causal Inference Using Quasi-Experimental Methods
Shapflex
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5
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
Graphical_model_learning
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5
Learning graphical models, with a focus on causal models and learning from interventional data.
Related Searches
Python Causal Inference (140)
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Python Causality (85)
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