Alternatives and similar repositories for Cambridge_COVID-19_ICU:

Users that are interested in Cambridge_COVID-19_ICU are comparing it to the libraries listed below

• ZhaozhiQIAN / SyncTwin-NeurIPS-2021
  Code for SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes (NeurIPS 2021)
  ☆9Updated 3 years ago
• stefangroha / SurvNODE
  ☆18Updated 3 years ago
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 2 years ago
• chl8856 / survITE
  SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
  ☆19Updated 3 years ago
• rvinas / GTEx-imputation
  Gene Expression Imputation with Generative Adversarial Imputation Nets
  ☆12Updated 2 years ago
• paidamoyo / counterfactual_survival_analysis
  ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
  ☆11Updated 4 years ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆151Updated 2 years ago
• EmmaRocheteau / TPC-LoS-prediction
  This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care …
  ☆78Updated 2 weeks ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 2 years ago
• vanderschaarlab / clairvoyance
  Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
  ☆132Updated 2 years ago
• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆59Updated last year
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 4 years ago
• MLforHealth / rl_representations
  Learning representations for RL in Healthcare under a POMDP assumption
  ☆54Updated 3 months ago
• fraenkel-lab / mogp
  Mixture of Gaussian Processes Model for Sparse Longitudinal Data
  ☆37Updated 2 years ago
• chunlinli / defuse
  Nonlinear Causal Discovery with Confounders
  ☆20Updated 2 years ago
• orilinial / GOKU
  Deep Generative ODE Modelling with Known Unknowns
  ☆18Updated 4 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 2 years ago
• babylonhealth / neuralTPPs
  ☆30Updated last year
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆74Updated 3 years ago
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 2 years ago
• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 4 years ago
• ratschlab / circEWS
  circEWS public code
  ☆68Updated 6 months ago
• CausalDisco / gadjid
  Adjustment Identification Distance: A gadjid for Causal Structure Learning
  ☆9Updated 2 months ago
• jacobdeasy / flexible-ehr
  Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.
  ☆19Updated 4 years ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆22Updated 10 months ago
• ratschlab / HIRID-ICU-Benchmark
  Repository for the HiRID ICU Benchmark (HiB) project
  ☆54Updated last year
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆21Updated 3 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆54Updated 3 years ago
• tjiagoM / gtex-transcriptome-modelling
  Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
  ☆11Updated 3 years ago
• landiisotta / convae_architecture
  ☆40Updated 3 years ago