Alternatives and similar repositories for AutoIV:

Users that are interested in AutoIV are comparing it to the libraries listed below

• claudiashi57 / dragonnet
  ☆263Updated 3 years ago
• DMIRLAB-Group / CDMIR
  ☆28Updated 3 months ago
• farazmah / dragonnet-pytorch
  pytorch implementation of dragonnet
  ☆38Updated 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…
  ☆514Updated 2 years ago
• causal-machine-learning-lab / mliv
  ☆27Updated 2 years ago
• kailiang-zhong / DESCN
  Implementation of paper DESCN, which is accepted in SIGKDD 2022.
  ☆78Updated last year
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆59Updated 4 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 3 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆74Updated 3 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆161Updated last year
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆136Updated 9 months ago
• oddrose / cfrnet
  Counterfactual Regression
  ☆23Updated 8 years ago
• Osier-Yi / SITE
  ☆59Updated 3 years ago
• alwaysmodest / A-Survey-of-Deep-Causal-Models-and-Their-Industrial-Applications
  ☆28Updated 6 months ago
• anpwu / DeR-CFR
  ☆19Updated 3 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆462Updated last year
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆314Updated 5 months ago
• hlzhang109 / TransTEE
  ☆33Updated 2 years ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆126Updated 2 years ago
• ksecology / FixedEffectModel
  Fixedeffectmodel: panel data modeling in Python
  ☆78Updated 3 years ago
• anthem-ai / bcauss
  Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
  ☆22Updated last year
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆82Updated 6 years ago
• DMIRLAB-Group / SELF
  Provides the SELF criteria to learn causal structure. Please cite "Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao. SELF: Structural Equ…
  ☆16Updated 7 years ago
• rik-helwegen / CEVAE_pytorch
  ☆44Updated 6 years ago
• vveitch / causal-text-embeddings-tf2
  Tensorflow 2 implementation of Causal-BERT
  ☆70Updated last year
• Renovamen / pcalg-py
  Implement PC algorithm in Python | PC 算法的 Python 实现
  ☆116Updated last year
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆100Updated 3 years ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆698Updated 2 years ago
• jc1850 / Learning-Causal-Networks-in-Python
  4th Year project aiming to implement PC, FCI and RFCI algorithms in python
  ☆14Updated 5 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…
  ☆75Updated 2 years ago