vanderschaarlab / mlforhealthlabpubView external linksLinks
Machine Learning and Artificial Intelligence for Medicine.
☆461Feb 27, 2023Updated 2 years ago
Alternatives and similar repositories for mlforhealthlabpub
Users that are interested in mlforhealthlabpub are comparing it to the libraries listed below
Sorting:
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆154Jun 22, 2024Updated last year
- Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series☆133Sep 16, 2022Updated 3 years ago
- Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019☆1,035Feb 5, 2026Updated last week
- TemporAI: ML-centric Toolkit for Medical Time Series☆128Dec 14, 2023Updated 2 years ago
- Counterfactual Regression☆319Dec 7, 2022Updated 3 years ago
- This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.☆84Jul 26, 2022Updated 3 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Jun 9, 2022Updated 3 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆67Apr 25, 2020Updated 5 years ago
- A framework for prototyping and benchmarking imputation methods☆195Apr 4, 2023Updated 2 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆93Sep 11, 2022Updated 3 years ago
- [IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions☆310Nov 3, 2023Updated 2 years ago
- TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network☆284Mar 10, 2024Updated last year
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Oct 26, 2021Updated 4 years ago
- ☆14Jul 13, 2022Updated 3 years ago
- ☆135Jul 16, 2024Updated last year
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆131Mar 24, 2023Updated 2 years ago
- Resources for Machine Learning Explainability☆87Sep 4, 2024Updated last year
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆94Mar 24, 2023Updated 2 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆46Mar 12, 2021Updated 4 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆346Oct 17, 2024Updated last year
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Jan 7, 2021Updated 5 years ago
- ☆40Dec 11, 2018Updated 7 years ago
- GANs for time series generation in pytorch☆275Sep 13, 2019Updated 6 years ago
- MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)☆93Sep 29, 2020Updated 5 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆107Dec 27, 2023Updated 2 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆354Jul 17, 2020Updated 5 years ago
- A model to generate time series data with the purpose of augmenting a dataset of various time series.☆63Jan 9, 2020Updated 6 years ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆21Jun 16, 2025Updated 8 months ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Dec 27, 2022Updated 3 years ago
- An index of algorithms for learning causality with data☆3,242Jan 22, 2025Updated last year
- Python package that provides a suite of modeling & causal inference methods using machine learning algorithms based on Elevance Health re…☆14Aug 1, 2023Updated 2 years ago
- Code for submission XXXX☆11Jul 20, 2023Updated 2 years ago
- ☆20Mar 14, 2022Updated 3 years ago
- A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.☆172Mar 26, 2025Updated 10 months ago
- This is the source code of FUSION, a safety-aware causal representation for generalizable driving agents.☆26Oct 23, 2024Updated last year
- Causal Discovery in Python. Learning causality from data.☆1,550Updated this week
- Recurrent (conditional) generative adversarial networks for generating real-valued time series data.☆656Oct 7, 2018Updated 7 years ago
- Causal Simulations for Uplift Modeling☆12Jan 22, 2020Updated 6 years ago