Alternatives and similar repositories for FasterRisk

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

• ErikinBC / SurvSet
  ☆57Updated this week
• 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
  ☆57Updated last year
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆75Updated 4 years ago
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆87Updated last year
• interpretml / fastSparse
  ☆22Updated last year
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆137Updated last year
• KenSciResearch / fairMLHealth
  Healthcare-specific tools for bias analysis
  ☆36Updated 2 years ago
• paidamoyo / counterfactual_survival_analysis
  ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
  ☆11Updated 4 years ago
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆160Updated this week
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆79Updated last week
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆41Updated 2 years ago
• chl8856 / survITE
  SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
  ☆19Updated 3 years ago
• ubc-systopia / gosdt-guesses
  Generalized Optimal Sparse Decision Trees
  ☆54Updated 2 weeks ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 4 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆63Updated last year
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆78Updated 9 months ago
• dandls / moc
  Multi-Objective Counterfactuals
  ☆41Updated 2 years ago
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆86Updated 4 months ago
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year
• haiderstats / ISDEvaluation
  Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".
  ☆22Updated 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
• survival-org / DL4Survival
  Repository for the overview paper "Deep Learning for Survival Analysis: A Survey"
  ☆25Updated 3 months ago
• SelfExplainML / GamiNet
  GAMI-Net: Generalized Additive Models with Structured Interactions
  ☆31Updated 3 years ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆24Updated 4 years ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 9 months ago
• mlr-org / mcboost
  Multi-Calibration & Multi-Accuracy Boosting for R
  ☆32Updated 8 months ago
• 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…
  ☆101Updated 2 years ago
• vanderschaarlab / clairvoyance
  Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
  ☆131Updated 2 years ago
• Yu-Group / iterative-Random-Forest
  Python implementation of iterative-random-forests
  ☆66Updated last year