vanderschaarlab / MIRACLE
☆27Updated last year
Alternatives and similar repositories for MIRACLE:
Users that are interested in MIRACLE are comparing it to the libraries listed below
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆59Updated last year
- ☆60Updated 4 years ago
- ☆38Updated 6 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆75Updated 2 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆21Updated last year
- ☆24Updated 2 weeks ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆20Updated 2 years ago
- A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"☆49Updated 10 months ago
- ☆49Updated 3 years ago
- ☆27Updated 2 years ago
- AC_TPC: Temporal Phenotyping using Deep Predicting Clustering of Disease Progression☆46Updated 4 years ago
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- Diffusion Models for Causal Discovery☆85Updated 2 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 8 months ago
- An updated version of eICU Benchmark with an updated problem definition on LoS and Decompensation tasks☆11Updated 3 years ago
- Neural Additive Models (Google Research)☆69Updated 3 years ago
- A benchmark for distribution shift in tabular data☆52Updated 10 months ago
- A probabilistic model to cluster survival data in a variational deep clustering setting☆30Updated 2 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
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- Source code for a comprehensive analysis of MTL over EHR timeseries data.☆37Updated 2 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆38Updated last year
- A framework for prototyping and benchmarking imputation methods☆183Updated 2 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆74Updated 5 months 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
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago