CausalML / DeepGMM
☆35Updated 5 years ago
Alternatives and similar repositories for DeepGMM:
Users that are interested in DeepGMM are comparing it to the libraries listed below
- ☆11Updated 5 years ago
- ☆32Updated 6 years ago
- ☆27Updated 2 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- ☆44Updated 3 years ago
- ☆22Updated last year
- Reimplementation of NOTEARS in Tensorflow☆35Updated 2 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated 9 months ago
- ☆38Updated 6 years ago
- Non-parametrics for Causal Inference☆45Updated 3 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆102Updated 4 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆30Updated 5 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆21Updated 3 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 3 years ago
- Code for "Neural causal learning from unknown interventions"☆101Updated 4 years ago
- Causal Discovery with Equal Variance Assumption☆9Updated 3 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆60Updated 5 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- 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
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆29Updated last year
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆12Updated 4 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆29Updated 4 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 4 years ago
- ☆42Updated 6 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago