Alternatives and similar repositories for cfrnet

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

• claudiashi57 / dragonnet
  ☆268Updated 3 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆140Updated 11 months ago
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆339Updated 4 years ago
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆88Updated 2 years ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆128Updated 2 years ago
• Osier-Yi / SITE
  ☆58Updated 3 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆61Updated 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…
  ☆77Updated 2 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 3 years ago
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆628Updated last year
• bd2kccd / py-causal
  ☆205Updated 2 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
  ☆83Updated 7 years ago
• oddrose / cfrnet
  Counterfactual Regression
  ☆23Updated 8 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆467Updated last year
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 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…
  ☆328Updated 7 months ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆47Updated 3 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• anpwu / DeR-CFR
  ☆19Updated 3 years ago
• anthem-ai / bcauss
  Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
  ☆25Updated 2 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆63Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆717Updated 2 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆105Updated 4 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆69Updated last month
• 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 4 years ago
• sschrod / BITES
  BITES: Balanced Individual Treatment Effect for Survival data
  ☆18Updated last year
• keiichishima / pcalg
  CPDAG Estimation using PC-Algorithm
  ☆96Updated 3 years ago
• farazmah / dragonnet-pytorch
  pytorch implementation of dragonnet
  ☆42Updated 2 years ago
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆49Updated 6 years ago
• hlzhang109 / TransTEE
  ☆33Updated 2 years ago