Alternatives and similar repositories for bcauss

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

• claudiashi57 / dragonnet
  ☆287Updated 3 years ago
• farazmah / dragonnet-pytorch
  pytorch implementation of dragonnet
  ☆46Updated 3 years ago
• 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…
  ☆340Updated last year
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆153Updated last year
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆93Updated 2 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆317Updated 3 years ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆747Updated 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…
  ☆93Updated 3 years ago
• oddrose / cfrnet
  Counterfactual Regression
  ☆25Updated 9 years ago
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆66Updated 5 years ago
• sschrod / BITES
  BITES: Balanced Individual Treatment Effect for Survival data
  ☆18Updated 2 years ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆131Updated 2 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆479Updated 2 years ago
• jc1850 / Learning-Causal-Networks-in-Python
  4th Year project aiming to implement PC, FCI and RFCI algorithms in python
  ☆14Updated 6 years ago
• causal-machine-learning-lab / mliv
  ☆31Updated 3 years ago
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆664Updated last year
• kailiang-zhong / DESCN
  Implementation of paper DESCN, which is accepted in SIGKDD 2022.
  ☆103Updated 2 years ago
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆14Updated 11 months ago
• Osier-Yi / SITE
  ☆59Updated 3 years ago
• octeufer / Adversarial-Balancing-based-representation-learning-for-Causal-Effect-Inference
  Causal Inference
  ☆11Updated 5 years ago
• hlzhang109 / TransTEE
  ☆36Updated 3 months ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆167Updated 2 years ago
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 4 years ago
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆354Updated 5 years ago
• ankits0207 / Learning-representations-for-counterfactual-inference-MyImplementation
  Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…
  ☆12Updated 5 years ago
• 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
  ☆84Updated 7 years ago
• anpwu / DeR-CFR
  ☆23Updated 2 months ago
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2025)
  ☆16Updated 11 months ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆77Updated 4 years ago