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
  ☆335Updated 7 months ago
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆338Updated last year
• sebp / scikit-survival
  Survival analysis built on top of scikit-learn
  ☆1,188Updated this week
• havakv / pycox
  Survival analysis with PyTorch
  ☆884Updated 8 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆248Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆377Updated 9 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆347Updated last year
• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆239Updated 6 years ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆59Updated 5 months ago
• robi56 / Survival-Analysis-using-Deep-Learning
  This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
  ☆215Updated last year
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆418Updated 2 years ago
• jaredleekatzman / DeepSurv
  DeepSurv is a deep learning approach to survival analysis.
  ☆626Updated 4 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆221Updated 6 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆244Updated last year
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆225Updated last year
• imatge-upc / SurvLIMEpy
  Local interpretability for survival models
  ☆24Updated 11 months ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆315Updated 2 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆139Updated 2 weeks ago
• benmiroglio / pymatch
  ☆287Updated last year
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆150Updated 3 weeks ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 2 weeks ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated last year
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆85Updated last year
• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆199Updated 2 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆634Updated last year
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆468Updated last year
• rk2900 / DRSA
  Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementati…
  ☆141Updated 4 years ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆613Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆539Updated last year