Alternatives and similar repositories for survival-kernets

Users that are interested in survival-kernets are comparing it to the libraries listed below

• georgehc / dksa
  Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals
  ☆13Updated 3 years ago
• sylvaincom / comparison-distributions
  [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…
  ☆11Updated 2 years ago
• paidamoyo / survival_cluster_analysis
  ACM CHIL 2020: "Survival Cluster Analysis"
  ☆16Updated 4 years ago
• vanderschaarlab / survivalgan
  SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
  ☆27Updated 2 years ago
• TeaPearce / Censored_Quantile_Regression_NN
  NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'
  ☆12Updated 2 years ago
• salimamoukou / ACPI
  Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…
  ☆29Updated 2 years ago
• MLD3 / RL-Set-Valued-Policy
  [ICML 2020] Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. https://arxiv.org/abs/20…
  ☆15Updated 4 years ago
• paidamoyo / counterfactual_survival_analysis
  ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
  ☆12Updated 4 years ago
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• haiderstats / ISDEvaluation
  Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".
  ☆23Updated 3 years ago
• XintianHan / Survival-MDN
  ☆13Updated 3 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• huaweicloud / c2far_forecasting
  This repository contains code for the paper: S Bergsma, T Zeyl, JR Anaraki, L Guo, C2FAR: Coarse-to-Fine Autoregressive Networks for Prec…
  ☆13Updated last year
• SelfExplainML / GamiNet
  GAMI-Net: Generalized Additive Models with Structured Interactions
  ☆31Updated 3 years ago
• sebp / survival-cnn-estimator
  Tutorial on survival analysis using TensorFlow.
  ☆47Updated 5 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 8 months ago
• stanfordmlgroup / cdr-mimic
  Official Repository for our UAI paper Countdown Regression on the MIMIC-III Dataset
  ☆19Updated 6 years ago
• WeijiaZhang24 / DCSurvival
  ☆10Updated last year
• EtashGuha / R2CCP
  ☆22Updated 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
• automl / auto-sklearn-talks
  Presentations on Auto-sklearn
  ☆24Updated 2 years ago
• StatMixedML / Hyper-Trees
  Forecasting with Hyper-Trees
  ☆18Updated 9 months ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 2 years ago
• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 4 years ago
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆89Updated last year
• seedatnabeel / SSCP
  SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)
  ☆17Updated 2 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆47Updated 2 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• kedemdor / metric-learning-talk
  An introduction talk about metric learning
  ☆24Updated 3 years ago