This is my archive for learning Causal Inference and its codings.
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Updated
Apr 10, 2023 - Python
This is my archive for learning Causal Inference and its codings.
run causal inference to detect the root causes
Estimate Transfer Entropy from time series data using an Approximate Generative Model
This repository contains code which accompanies the paper: Assessing Model Behaviour on Extreme Counterfactuals (https://www.researchgate.net/publication/360912277_Assessing_Model_Behaviour_on_Extreme_Counterfactuals)
Code of Counterfactual Experience Augmented Off-policy Reinforcement Learning.
Code supplement for "Neuroevolutionary representations for learning heterogeneous treatment effects"
Code for "Counterfactual Inference of Second Opinions", UAI 2022
SurvCI & SurvCI-Info:Counterfactual Inference using Balanced Representations for Parametric Deep Survival Analysis
Single-Cell (Perturbation) Model Library
The corresponding code from our paper "Social Commonsense Reasoning with Multi-Head Knowledge Attention (EMNLP 2020)". Do not hesitate to open an issue if you run into any trouble!
ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
User-controllable Recommendation Against Filter Bubbles
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
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