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Search results for deep learning causal inference
causal-inference
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deep-learning
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18 search results found
Causal Ml
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376
Must-read papers and resources related to causal inference and machine (deep) learning
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.
Auton Survival
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271
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Awesome Graph Causal Learning
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108
A list of Graph Causal Learning materials.
Deepscm
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103
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Deepiv
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99
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
Perfect_match
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75
➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
Awesome Decision Making Reinforcement Learning
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37
A selection of state-of-the-art research materials on decision making and motion planning.
Drnet
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31
💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.
St Causalconvnet
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27
A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.
Sin
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24
Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
Infotopopy
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17
computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks
Machine Learning Summer Schools
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14
Curated materials for different machine learning related summer schools
Matching With Gans
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7
Matching in GAN latent space for better bias benchmarking and semantic image editing. 👶🏻🧒🏾👩🏼🦰👱🏽♂️👴🏾
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.
Caf Gnn
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6
[CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.
Vcn_pytorch
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6
Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"
Causal_il
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5
Contains implementation of the DoubIL and ResiduIL algorithms from the ICML '22 paper Causal Imitation Learning under Temporally Correlated Noise.
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1-18 of 18 search results
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