omidbazgirTTU / REFINED

Related projects ⓘ

Alternatives and complementary repositories for REFINED

• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆157Updated 5 months ago
• alok-ai-lab / pyDeepInsight
  A python implementation of the DeepInsight methodology.
  ☆158Updated last week
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆147Updated 4 years ago
• arturomoncadatorres / deepsurvk
  Implementation of DeepSurv using Keras
  ☆49Updated last year
• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆65Updated 4 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆28Updated 2 years ago
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated last year
• helenzhao093 / MLMethods
  Implementations of various feature selection methods
  ☆23Updated 3 years ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆101Updated 2 years ago
• liupei101 / Tutorial-Machine-Learning-Based-Survival-Analysis
  This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosti…
  ☆30Updated 5 years ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆88Updated 9 months ago
• autonlab / DeepSurvivalMachines
  ☆28Updated 2 years ago
• luisvalesilva / multisurv
  Multimodal deep learning model for long-term cancer survival prediction
  ☆73Updated 2 years ago
• havakv / torchtuples
  Training neural networks in PyTorch
  ☆27Updated 8 months ago
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆45Updated last year
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆59Updated last week
• fbrundu / pymrmr
  Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
  ☆138Updated last week
• jianglindong93 / AUTOSurv
  ☆11Updated 10 months ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆240Updated 8 months ago
• carlr67 / deephitplus
  Code for the Paper "Automatic Feature Selection for Survival Analysis with Deep Learning"
  ☆15Updated 4 years ago
• alimirzaei / TSFS
  Deep Feature Selection using Teacher Student Network
  ☆43Updated 5 years ago
• sebp / survival-cnn-estimator
  Tutorial on survival analysis using TensorFlow.
  ☆47Updated 4 years ago
• nicomignoni / tab2img
  A tool to convert tabular data into images, in order to be used by CNNs Inspired by the "DeepInsight" paper.
  ☆25Updated 3 years ago
• lasso-net / lassonet
  Feature selection in neural networks
  ☆216Updated last month
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆71Updated last week
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆81Updated 10 months ago
• yandexdataschool / roc_comparison
  The fast version of DeLong's method for computing the covariance of unadjusted AUC.
  ☆146Updated 2 years ago
• liupei101 / libsurv
  A library of survival model
  ☆19Updated 4 years ago
• EagerSun / DL-vs-Stat_Impute
  This is a thesis project about comparing imputation performances between deep learning methods and conventional statistical methods. In t…
  ☆14Updated last month
• yanboxu / RAIM
  Recurrent Attentive and Intensive Modeling of Multimodal Patient Monitoring Data
  ☆17Updated 5 years ago