Alternatives and similar repositories for pysurvival

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

• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆341Updated 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
• sebp / scikit-survival
  Survival analysis built on top of scikit-learn
  ☆1,240Updated last week
• havakv / pycox
  Survival analysis with PyTorch
  ☆937Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆393Updated 3 weeks ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆64Updated last year
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆421Updated 2 years ago
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆93Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆638Updated last year
• jaredleekatzman / DeepSurv
  DeepSurv is a deep learning approach to survival analysis.
  ☆663Updated 5 years ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆546Updated 2 years ago
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆279Updated last week
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆42Updated last year
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆247Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆170Updated 2 years ago
• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆246Updated 7 years ago
• robi56 / Survival-Analysis-using-Deep-Learning
  This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
  ☆220Updated 2 years ago
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆469Updated 2 years ago
• casper-hansen / Nested-Cross-Validation
  Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…
  ☆64Updated 6 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆649Updated last year
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆142Updated 2 years ago
• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆215Updated 9 months ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆360Updated 4 years ago
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆616Updated 11 months ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆318Updated 2 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆155Updated 7 months ago