Alternatives and similar repositories for A-Survey-of-Deep-Causal-Models-and-Their-Industrial-Applications

Users that are interested in A-Survey-of-Deep-Causal-Models-and-Their-Industrial-Applications are comparing it to the libraries listed below

• anpwu / DeR-CFR
  ☆22Updated last month
• nuster1128 / Awesome-Causal-Papers
  We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
  ☆96Updated 2 years ago
• anpwu / Causal4Application
  ☆26Updated 3 years ago
• lushleaf / varying-coefficient-net-with-functional-tr
  [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…
  ☆91Updated 3 years ago
• Renovamen / pcalg-py
  Implement PC algorithm in Python | PC 算法的 Python 实现
  ☆118Updated 2 years ago
• fulifeng / Causal_Reading_Group
  We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…
  ☆517Updated 2 years ago
• huiyang-yi / Awesome-Causality-and-ML-Papers
  关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结
  ☆33Updated 5 months ago
• dgliu / KDD23_EFIN
  Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"
  ☆84Updated last year
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 years ago
• BokwaiHo / revenue_uplift
  Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)
  ☆29Updated last year
• songjiang0909 / Causal-Inference-on-Networked-Data
  Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
  ☆20Updated 2 years ago
• kailiang-zhong / DESCN
  Implementation of paper DESCN, which is accepted in SIGKDD 2022.
  ☆100Updated last year
• oddrose / cfrnet
  Counterfactual Regression
  ☆25Updated 9 years ago
• hlzhang109 / TransTEE
  ☆35Updated 2 months ago
• anthem-ai / bcauss
  Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
  ☆24Updated 2 years ago
• farazmah / dragonnet-pytorch
  pytorch implementation of dragonnet
  ☆46Updated 3 years ago
• aaronwtr / cfrnet-reproduction
  Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…
  ☆18Updated 3 years ago
• usail-hkust / Awesome-Causality-Inspired-GNNs
  An awesome collection of causality-inspired graph neural networks.
  ☆98Updated last year
• hedongyan / awesome-causality-identification
  ☆33Updated 2 months ago
• anzhang314 / ReScore
  Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)
  ☆16Updated 2 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆77Updated 4 years ago
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 4 years ago
• HeYueThu / CausPref
  Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)
  ☆20Updated 3 years ago
• causal-machine-learning-lab / mliv
  ☆31Updated 3 years ago
• QiangAIResearcher / sahp_repo
  ☆62Updated 5 years ago
• Osier-Yi / SITE
  ☆59Updated 3 years ago
• claudiashi57 / dragonnet
  ☆287Updated 3 years ago
• Silver-Shen / Stable_Linear_Model_Learning
  The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"
  ☆18Updated 5 years ago
• DMIRLAB-Group / CDMIR
  ☆34Updated last month
• TimeLovercc / Awesome-Graph-Causal-Learning
  A list of Graph Causal Learning materials.
  ☆205Updated 10 months ago