Alternatives and similar repositories for FasterRisk

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

• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆93Updated last year
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆348Updated last year
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆142Updated 2 years ago
• ErikinBC / SurvSet
  ☆59Updated 5 months ago
• KenSciResearch / fairMLHealth
  Healthcare-specific tools for bias analysis
  ☆39Updated 2 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆279Updated last week
• pzivich / zEpid
  Epidemiology analysis package
  ☆150Updated 2 years 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
• vanderschaarlab / clairvoyance
  Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
  ☆132Updated 3 years ago
• Califrais / flash
  A generalized joint model for high-dimensional multivariate longitudinal data and censored durations
  ☆13Updated last year
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆110Updated last month
• hrossman / pymsm
  ☆53Updated 3 years ago
• paidamoyo / counterfactual_survival_analysis
  ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
  ☆12Updated 4 years ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆341Updated last year
• adriennekline / psmpy
  propensity score matching in python
  ☆60Updated this week
• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆366Updated last year
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 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 3 months ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆126Updated 2 years ago
• survival-org / DL4Survival
  Repository for the overview paper "Deep Learning for Survival Analysis: A Survey"
  ☆26Updated 8 months ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• soda-inria / caussim
  Simulations for predictive model selection in causal inference
  ☆13Updated 10 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆393Updated 3 weeks ago
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated last week
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆38Updated 2 years ago
• vanderschaarlab / survivalgan
  SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
  ☆27Updated 2 years ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆156Updated last year
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆170Updated this week