Alternatives and similar repositories for CoCo:

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

• CausalML / DeepGMM
  ☆33Updated 5 years ago
• csquires / causal-rep-learning-reading-group
  ☆22Updated last year
• yixinwang / representation-causal-public
  ☆43Updated 2 years ago
• GitHubLuCheng / LTEE
  Implementation of paper Long-Term Effect Estimation with Surrogate Representation
  ☆12Updated 4 years ago
• debmandal / causality-fairness
  References for Papers at the Intersection of Causality and Fairness
  ☆18Updated 6 years ago
• callmespring / CausalRL
  Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)
  ☆25Updated last year
• christinaheinze / core
  TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".
  ☆10Updated 6 years ago
• paras2612 / CauseBox
  Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…
  ☆20Updated 3 years ago
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 3 years ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆43Updated 2 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 6 years ago
• CausalML / interventions-disparate-impact-responders
  Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
  ☆11Updated 5 years ago
• ahmedmalaa / discriminative-jackknife
  Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.
  ☆8Updated 4 years ago
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆81Updated 9 months ago
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆52Updated 6 years ago
• WeijiaZhang24 / TEDVAE
  Code for TEDVAE, a VAE-based treatment effect estimation algorithm.
  ☆22Updated 2 years ago
• CausalML / continuous-policy-learning
  ☆11Updated 5 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆61Updated 2 weeks ago
• OATML / causal-bald
  ☆17Updated last year
• ioanabica / SCIGAN
  Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…
  ☆28Updated 4 years ago
• ElementAI / causal_discovery_toolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆30Updated 5 years ago
• nikikilbertus / cf-fairness-sensitivity
  The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019
  ☆12Updated 4 years ago
• ignavierng / notears-tensorflow
  Reimplementation of NOTEARS in Tensorflow
  ☆33Updated last year
• belaalb / CEVAE-VampPrior
  CEVAE with VampPrior
  ☆11Updated 6 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆96Updated 3 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 3 years ago
• rguo12 / KDD24-Conformal
  Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)
  ☆10Updated 4 months ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆36Updated 2 years ago
• juangamella / aicp
  Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…
  ☆19Updated last year