rajesh-lab / realxLinks
☆9Updated 3 years ago
Alternatives and similar repositories for realx
Users that are interested in realx are comparing it to the libraries listed below
Sorting:
- ☆13Updated 2 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- A benchmark for distribution shift in tabular data☆52Updated 11 months ago
- ☆14Updated last year
- Source code for a comprehensive analysis of MTL over EHR timeseries data.☆37Updated 2 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆59Updated last year
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)☆13Updated 2 years ago
- Causal data augmentation for pretraining debiasing☆11Updated 3 years ago
- Code for submission XXXX☆11Updated last year
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆20Updated 2 years ago
- Code and webpages for our study on teaching humans to defer to an AI☆11Updated last year
- Improving the Fairness of Chest X-ray Classifiers☆14Updated 3 years ago
- Dynamic Deep Hit - Pytorch implementation☆26Updated last year
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆26Updated 3 years ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆24Updated 3 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆75Updated 4 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆8Updated 4 years ago
- ☆39Updated 6 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 2 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆11Updated 4 years ago
- bayesian lime☆17Updated 10 months ago
- ☆22Updated 2 years ago
- Evaluating methods to improve model transfer for intensive care unit models☆16Updated last year
- Github for the NIPS 2020 paper "Learning outside the black-box: at the pursuit of interpretable models"☆15Updated 2 years ago
- This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care …☆78Updated last month
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"☆18Updated 4 years ago