Alternatives and similar repositories for counterfactual_survival_analysis

Users that are interested in counterfactual_survival_analysis are comparing it to the libraries listed below

• chl8856 / survITE
  SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
  ☆20Updated 4 years ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆44Updated last year
• vanderschaarlab / survivalgan
  SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
  ☆28Updated 2 years ago
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 3 years ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆45Updated last year
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆95Updated 2 years ago
• ErikinBC / SurvSet
  ☆63Updated 7 months ago
• KenSciResearch / fairMLHealth
  Healthcare-specific tools for bias analysis
  ☆39Updated 3 years ago
• autonlab / DeepSurvivalMachines
  ☆31Updated 3 years ago
• vanderschaarlab / clairvoyance
  Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
  ☆135Updated 3 years ago
• paidamoyo / adversarial_time_to_event
  ICML 2018: "Adversarial Time-to-Event Modeling"
  ☆37Updated 7 years ago
• som-shahlab / survlearners
  Metalearners for Survival Data
  ☆15Updated 2 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆62Updated 5 months ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆64Updated last year
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 5 years ago
• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆66Updated last year
• soda-inria / caussim
  Simulations for predictive model selection in causal inference
  ☆13Updated last year
• paidamoyo / survival_cluster_analysis
  ACM CHIL 2020: "Survival Cluster Analysis"
  ☆16Updated 4 years ago
• haiderstats / ISDEvaluation
  Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".
  ☆23Updated 4 years ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆50Updated 3 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆155Updated last year
• collinprather / drsa
  An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.
  ☆21Updated 2 years ago
• ioanabica / Time-Series-Deconfounder
  Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …
  ☆52Updated 5 years ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆21Updated this week
• CausalInference / pygformula
  The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…
  ☆30Updated last month
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆30Updated 2 months ago
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆64Updated 2 years ago
• deshen24 / syntheticNN
  ☆25Updated 4 years ago
• MLD3 / FIDDLE-experiments
  Experiments applying FIDDLE on MIMIC-III and eICU. https://doi.org/10.1093/jamia/ocaa139
  ☆24Updated 3 years ago